CN116206216A - Vector geographic information acquisition method and system based on remote sensing image - Google Patents
Vector geographic information acquisition method and system based on remote sensing image Download PDFInfo
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Abstract
The invention belongs to the technical field of geographic information acquisition and analysis, and particularly relates to a vector geographic information acquisition method and system based on a remote sensing image, wherein the vector geographic information acquisition system comprises a server, a remote sensing image acquisition and analysis module, a remote sensing image quality analysis module, a vector graphic conversion analysis module and an image acquisition period monitoring module; according to the invention, the remote sensing image acquisition and analysis module is used for carrying out remote sensing image acquisition and analysis, the remote sensing image quality analysis module is used for carrying out quality analysis and reasonable marking on remote sensing images of a required monitoring area, the remote sensing image acquisition and periodic monitoring module is convenient for corresponding supervisory personnel to carry out remote sensing image acquisition and periodic monitoring, the corresponding supervisory personnel can conveniently and timely make corresponding countermeasures to improve the subsequent acquisition conditions, the automatic accurate analysis of the change condition of the monitoring area is realized through the vector graphics conversion analysis module, and the corresponding supervisory personnel can conveniently and timely carry out targeted investigation on the corresponding monitoring area.
Description
Technical Field
The invention relates to the technical field of geographic information acquisition and analysis, in particular to a vector geographic information acquisition method and system based on remote sensing images.
Background
The remote sensing is a comprehensive technology for detecting and monitoring the earth resources and the environment by detecting electromagnetic wave radiation information on the earth surface through sensors on different working platforms far away from the ground, and then transmitting, processing and interpreting the information, wherein the remote sensing technology detects by adopting a high-altitude aerial view form in a long distance and comprises multi-point, multi-spectrum, multi-period and multi-height remote sensing images and multi-enhanced remote sensing information, can provide continuous regional synchronous information with comprehensive systemicity, instantaneous or synchronicity, and has great superiority in the application of the field of environmental science;
at present, when vector geographic information is acquired based on remote sensing images, image acquisition reaction analysis, image quality analysis and periodic acquisition monitoring feedback cannot be carried out, corresponding supervisory personnel cannot timely and accurately know the quality and acquisition reaction condition of the remote sensing images, follow-up regulation and control and image selection are not facilitated, vector graphics corresponding to the remote sensing images cannot be primarily analyzed to judge the change condition of a monitoring area, follow-up targeted area investigation by the corresponding supervisory personnel is not facilitated, and the workload of the corresponding supervisory personnel is increased; in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a vector geographic information acquisition method and system based on remote sensing images, which solve the problems that in the prior art, image acquisition reaction analysis, image quality analysis and periodic acquisition monitoring feedback cannot be performed, corresponding supervisory personnel cannot timely and accurately know the quality and acquisition reaction conditions of the remote sensing images, follow-up regulation and image selection are not facilitated, and vector patterns corresponding to the remote sensing images cannot be primarily analyzed to judge the change conditions of a monitoring area, and the corresponding supervisory personnel cannot follow-up targeted area investigation.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a vector geographic information acquisition method based on remote sensing images comprises the following steps:
step one, a remote sensing image acquisition analysis module sends a remote sensing image acquisition request and receives a corresponding remote sensing image, and generates an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal through remote sensing image acquisition analysis;
secondly, the remote sensing image quality analysis module carries out quality analysis on the remote sensing image of the area to be monitored and generates an image qualified signal or an image unqualified signal of the corresponding remote sensing image;
and thirdly, converting the remote sensing image into a vector image by the vector image conversion analysis module and comparing the image partitions to judge whether to generate a regional early warning signal.
Furthermore, the invention also provides a vector geographic information acquisition system based on the remote sensing image, which comprises a server, a remote sensing image acquisition and analysis module, a remote sensing image quality analysis module, a vector graphic conversion and analysis module and an image acquisition period monitoring module; the remote sensing image acquisition analysis module is used for sending a remote sensing image acquisition request, receiving a corresponding remote sensing image, generating an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal of the corresponding remote sensing image through remote sensing image acquisition analysis, and sending the image acquisition reaction qualified signal or the image acquisition reaction unqualified signal to the geographic information monitoring terminal through the server;
the remote sensing image quality analysis module is used for carrying out quality analysis on the remote sensing image of the required monitoring area and generating an image qualified signal or an image unqualified signal of the corresponding remote sensing image, marking the corresponding remote sensing image as a inferior image, a good image or a superior image, and sending corresponding analysis information and marking information to the geographic information supervision terminal through the server;
the vector graphic conversion analysis module converts the remote sensing image into a vector graphic and performs graphic partition comparison so as to judge whether to generate a regional early warning signal, and the regional early warning signal is sent to the geographic information supervision terminal through the server when the regional early warning signal is generated; the image acquisition period monitoring module is used for performing period monitoring of remote sensing image acquisition to generate a period monitoring normal signal or a period monitoring abnormal signal corresponding to the image acquisition period, and the period monitoring normal signal or the period monitoring abnormal signal is sent to the geographic information monitoring terminal through the server.
Further, the specific operation process of the remote sensing image acquisition and analysis module comprises the following steps:
a remote sensing image acquisition request corresponding to a monitoring area is sent out, a request sending time and a request response time of the remote sensing image acquisition request are acquired, a response speed value is acquired by calculating the difference between the request response time and the request sending time, an image transmission starting time, an image transmission ending time and an image storage value are acquired, an image transmission duration value is acquired by calculating the difference between the image transmission ending time and the image transmission starting time, and an image transmission efficiency evaluation value of the acquired remote sensing image is acquired by calculating the ratio of the image storage value to the image transmission duration value;
and the data storage module is used for calling a preset response speed threshold value and a preset image transmission efficiency evaluation threshold value, respectively carrying out numerical comparison on the response speed value and the image transmission efficiency evaluation value and the preset response speed threshold value and the preset image transmission efficiency evaluation threshold value, if the response speed value is smaller than the preset response speed threshold value and the image transmission efficiency evaluation value is greater than or equal to the preset image transmission efficiency evaluation threshold value, generating an image acquisition reaction qualified signal, and otherwise, generating an image acquisition reaction disqualification signal.
Further, the specific operation process of the remote sensing image quality analysis module comprises the following steps:
obtaining a remote sensing image of a required monitoring area, obtaining image definition, image signal-to-noise ratio, image information entropy, image gray variance and image average gradient of a corresponding remote sensing image, judging that the quality of the corresponding remote sensing image is qualified and generating an image qualified signal if the image definition, the image signal-to-noise ratio, the image information entropy, the image gray variance and the image average gradient are all larger than or equal to corresponding preset thresholds, otherwise judging that the quality of the corresponding remote sensing image is unqualified and generating an image unqualified signal, and marking the corresponding remote sensing image as a inferior image.
Further, the image definition is used for representing the data value of the image definition condition, and the larger the value of the image definition is, the better the corresponding image quality is; the larger the value of the signal-to-noise ratio of the image is, the better the corresponding image quality is; the larger the value of the image information entropy is, the more the information quantity is, and the better the image quality is; the image gray variance reflects the discrete condition of the gray of each pixel of the image relative to the gray average value, and the larger the numerical value of the image gray variance is, the richer the gray level of the image is, and the better the image quality is; the image average gradient reflects the image's ability to contrast the tiny details, the larger the value of the image average gradient, the better the image quality.
Further, when generating an image qualified signal, performing difference calculation on the image definition and a preset image definition threshold to obtain a definition increasing value, and similarly obtaining a signal-to-noise ratio increasing value, an information entropy increasing value, a gray variance increasing value and a gradient increasing value, and performing numerical calculation on the definition increasing value, the signal-to-noise ratio increasing value, the information entropy increasing value, the gray variance increasing value and the gradient increasing value to obtain an image quality increasing coefficient;
and the data storage module is used for retrieving a preset image quality increase coefficient threshold value, comparing the image quality increase coefficient of the corresponding remote sensing image with the preset image quality increase coefficient threshold value in a numerical mode, marking the corresponding remote sensing image as a superior image if the image quality increase coefficient exceeds the preset image quality increase coefficient threshold value, and marking the corresponding remote sensing image as a good image if the image quality increase coefficient does not exceed the preset image quality increase coefficient threshold value.
Further, the specific operation process of the image acquisition period monitoring module comprises:
setting an image acquisition period, analyzing and acquiring an acquisition reaction effect value corresponding to the image acquisition period through an acquisition reaction period, analyzing and acquiring an acquisition image effect value corresponding to the image acquisition period through an acquisition quality period, calling a preset acquisition reaction effect threshold value and a preset acquisition image effect threshold value through a data storage module, respectively comparing the acquisition reaction effect value and the acquisition image effect value with the preset acquisition reaction effect threshold value and the preset acquisition image effect threshold value in numerical value, and generating a period monitoring normal signal if the acquisition reaction effect value and the acquisition image effect value are smaller than the corresponding threshold value;
otherwise, carrying out numerical calculation on the acquired response effect value and the acquired image effect value to acquire a period monitoring value corresponding to the image acquisition period, calling a preset period monitoring threshold value through a data storage module, carrying out numerical comparison on the period monitoring value and the preset period monitoring threshold value, generating a period monitoring abnormal signal if the period monitoring value exceeds the preset period monitoring threshold value, and generating a period monitoring normal signal if the period monitoring value does not exceed the preset period monitoring threshold value.
Further, the specific analysis process of the analysis of the collection reaction period is as follows:
the frequency of generating the image acquisition reaction qualified signals and the frequency of generating the image acquisition reaction unqualified signals in the image acquisition period are obtained, the ratio of the frequency of the image acquisition reaction unqualified signals to the frequency of the image acquisition reaction qualified signals is calculated to obtain an unqualified reaction ratio, and the numerical calculation of the unqualified reaction ratio to the frequency of the image acquisition reaction unqualified signals is carried out to obtain an acquisition reaction effect value.
Further, the specific analysis process of the acquisition quality period analysis is as follows:
the method comprises the steps of obtaining the number of inferior images, the number of good images and the number of superior images which are collected in an image collection period, summing the number of inferior images, the number of good images and the number of superior images to obtain an image collection frequency value, and carrying out numerical calculation on the image collection frequency value, the number of inferior images, the number of good images and the number of superior images to obtain an image collection effect value.
Further, the specific operation process of the vector graphics conversion analysis module comprises the following steps:
converting the corresponding remote sensing image into a vector image of a corresponding monitoring area, dividing the vector image of the corresponding monitoring area into a plurality of groups of analysis areas i, i=1, 2, …, n, n represents the number of the analysis areas in the vector image of the corresponding monitoring area, and n is a positive integer greater than 1; the standard vector graph of the corresponding monitoring area is called, the analysis region i is compared with the corresponding part of the standard vector graph, the region position distribution variation quantity of the corresponding analysis region i is obtained through comparison, and the region position distribution variation quantity represents the data value of the ratio of the area of the changed region of the corresponding analysis region i to the total area of the corresponding analysis region i;
the method comprises the steps of calling a preset area location distribution change threshold value through a data storage module, marking an analysis region i with the area location distribution change quantity exceeding the preset area location distribution change threshold value as a high difference region, marking an analysis region i with the area location distribution change quantity not exceeding the preset area location distribution change threshold value as a low difference region, obtaining the number of the high difference regions and the number of the low difference regions in a corresponding monitoring region vector graph, and calculating the ratio of the number of the high difference regions to the number of the low difference regions to obtain a region change coefficient; and calling a preset region change threshold value through the data storage module, comparing the region change coefficient with the preset region change threshold value in a numerical mode, and generating a region early warning signal if the region change coefficient exceeds the preset region change threshold value.
Further, if the region change coefficient does not exceed a preset region change threshold value, all low-difference regions are obtained and marked as associated regions, the distance between every two associated regions is calculated to obtain corresponding adjacent region distance values, an adjacent region distance set is established for all adjacent region distance values, and variance calculation is carried out for the adjacent region distance set to obtain adjacent region discrete coefficients; and a preset neighbor discrete threshold value is called through the data storage module, the neighbor discrete coefficient is compared with the neighbor discrete threshold value in a numerical mode, if the neighbor discrete coefficient does not exceed the neighbor discrete threshold value, a high-difference aggregation signal is generated, and the high-difference aggregation signal is sent to the geographic information supervision terminal through the server.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a remote sensing image acquisition request is sent and a corresponding remote sensing image is received through a remote sensing image acquisition analysis module, and an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal of the corresponding remote sensing image is generated through remote sensing image acquisition analysis, so that corresponding supervisory personnel are timely reminded, and the corresponding supervisory personnel can conveniently perform corresponding regulation and control to ensure the acquisition efficiency and the reaction efficiency of the subsequent remote sensing images; the remote sensing image quality analysis module is used for carrying out quality analysis on the remote sensing image of the required monitoring area, generating an image qualified signal or an image unqualified signal of the corresponding remote sensing image, marking the corresponding remote sensing image as a inferior image, a good image or a superior image, so that the corresponding supervisory personnel can conveniently and comprehensively know the quality condition of the received remote sensing image in time, and conveniently select and use the remote sensing image by the corresponding supervisory personnel;
2. according to the invention, the remote sensing image is converted into the vector image through the vector image conversion analysis module and the image partition comparison is carried out to judge whether the area early warning signal is generated or not, so that the automatic and accurate analysis of the change condition of the monitoring area is realized, the corresponding monitoring personnel can conveniently and timely carry out the targeted investigation of the corresponding monitoring area, and the workload of the monitoring personnel is saved; the image acquisition period monitoring module is used for carrying out period monitoring of remote sensing image acquisition to generate a period monitoring normal signal or a period monitoring abnormal signal corresponding to an image acquisition period, and prompting corresponding supervisory personnel through period acquisition monitoring feedback, so that the corresponding supervisory personnel can conveniently and timely make corresponding countermeasures to improve the subsequent acquisition condition.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a system block diagram of a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In a first embodiment, as shown in fig. 1, the method for collecting vector geographic information based on remote sensing images provided by the invention comprises the following steps:
step one, a remote sensing image acquisition analysis module sends a remote sensing image acquisition request and receives a corresponding remote sensing image, and generates an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal through remote sensing image acquisition analysis;
secondly, the remote sensing image quality analysis module carries out quality analysis on the remote sensing image of the area to be monitored and generates an image qualified signal or an image unqualified signal of the corresponding remote sensing image;
and thirdly, converting the remote sensing image into a vector image by the vector image conversion analysis module and comparing the image partitions to judge whether to generate a regional early warning signal.
In the second embodiment, as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the present invention further provides a remote sensing image-based vector geographic information acquisition system, which includes a server, a remote sensing image acquisition and analysis module, a remote sensing image quality analysis module, and a vector graphics conversion analysis module, where the server is in communication connection with the remote sensing image acquisition and analysis module, the remote sensing image quality analysis module, and the vector graphics conversion analysis module, and the server is in communication connection with a geographic information supervision terminal; the remote sensing image acquisition and analysis module is used for sending a remote sensing image acquisition request and receiving a corresponding remote sensing image, and carrying out remote sensing image acquisition and analysis, wherein the specific analysis process of the remote sensing image acquisition and analysis is as follows:
a remote sensing image acquisition request corresponding to the monitoring area is sent out, the request sending time and the request response time of the remote sensing image acquisition request are acquired, the difference value between the request response time and the request sending time is calculated, and a response speed value XS is a data value representing the size of the request corresponding to the request; obtaining an image transmission starting time, an image transmission ending time and an image storage value, calculating a difference value between the image transmission ending time and the image transmission starting time to obtain an image transmission duration value CS, and calculating a ratio of the image storage value to the image transmission duration value CS to obtain an image transmission efficiency evaluation value CP of the acquired remote sensing image;
and the data storage module is used for calling a preset response speed threshold value and a preset image transmission efficiency evaluation threshold value, respectively carrying out numerical comparison on the response speed value XS and the image transmission efficiency evaluation value CP as well as the preset response speed threshold value and the preset image transmission efficiency evaluation threshold value, if the response speed value XS is smaller than the preset response speed threshold value and the image transmission efficiency evaluation value CP is greater than or equal to the preset image transmission efficiency evaluation threshold value, generating an image acquisition reaction qualified signal, and otherwise generating an image acquisition reaction unqualified signal.
The remote sensing image acquisition analysis module is used for sending a remote sensing image acquisition request, receiving a corresponding remote sensing image, generating an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal corresponding to the remote sensing image through remote sensing image acquisition analysis, sending the image acquisition reaction qualified signal or the image acquisition reaction unqualified signal to the geographic information monitoring terminal through the server, and timely reminding the corresponding monitoring personnel, so that the corresponding monitoring personnel can conveniently perform corresponding regulation and control to ensure the acquisition efficiency and the reaction efficiency of the subsequent remote sensing image.
The remote sensing image quality analysis module carries out quality analysis on the remote sensing image of the required monitoring area, and the specific analysis process of the remote sensing image quality analysis is as follows:
acquiring a remote sensing image of a required monitoring area, and acquiring image definition, image signal-to-noise ratio, image information entropy, image gray variance and image average gradient of a corresponding remote sensing image, wherein the image definition is used for representing a data value of an image definition condition, and the larger the value of the image definition is, the better the corresponding image quality is; the larger the value of the signal-to-noise ratio of the image is, the better the corresponding image quality is; the larger the value of the image information entropy is, the more the information quantity is, and the better the image quality is; the image gray variance reflects the discrete condition of the gray of each pixel of the image relative to the gray average value, and the larger the numerical value of the image gray variance is, the richer the gray level of the image is, and the better the image quality is; the image average gradient reflects the capability of the image to express the contrast of the micro detail, and the larger the value of the image average gradient is, the better the image quality is;
the method comprises the steps of calling a preset image definition threshold value, a preset image signal-to-noise ratio threshold value, a preset image information entropy threshold value, a preset image gray variance threshold value and a preset image average gradient threshold value through a data storage module, judging that the quality of a corresponding remote sensing image is qualified and generating an image qualified signal if the image definition, the image signal-to-noise ratio, the image information entropy, the image gray variance and the image average gradient are all larger than or equal to corresponding preset threshold values, judging that the quality of the corresponding remote sensing image is unqualified and generating an image unqualified signal if all judging that all judging data of the corresponding remote sensing image are qualified, and marking the corresponding remote sensing image as a inferior image;
when an image qualified signal is generated, performing difference calculation on the image definition and a preset image definition threshold value to obtain a definition increasing value QZ, similarly obtaining a signal-to-noise increasing value XZ, an information entropy increasing value SZ, a gray level variance increasing value HZ and a gradient increasing value TZ, substituting the quality increasing value QZ, the signal-to-noise increasing value XZ, the information entropy increasing value SZ, the gray level variance increasing value HZ and the gradient increasing value TZ into the definition increasing value QZ through a quality increasing comprehensive analysis formula LZ=a1×QZ+a2×XZ+a3×SZ+a4×HZ+a5×TZ, performing numerical calculation on the definition increasing value QZ, the information entropy increasing value SZ, the gray level variance increasing value HZ and the gradient increasing value TZ, and obtaining an image quality increasing coefficient LZ of a corresponding remote sensing image through numerical calculation;
wherein a1, a2, a3, a4 and a5 are preset weight coefficients, the values of a1, a2, a3, a4 and a5 are all larger than zero, and a1 > a2 > a4 > a5 > a3; it should be noted that, the magnitude of the image quality increasing coefficient LZ is in a proportional relationship with the sharpness increasing value QZ, the signal-to-noise increasing value XZ, the information entropy increasing value SZ, the gray variance increasing value HZ and the gradient increasing value TZ, and the larger the magnitude of the image quality increasing coefficient LZ, the better the image quality of the corresponding remote sensing image is indicated;
and the data storage module is used for retrieving a preset image quality increase coefficient threshold value, comparing the image quality increase coefficient LZ of the corresponding remote sensing image with the preset image quality increase coefficient threshold value in a numerical mode, marking the corresponding remote sensing image as a superior image if the image quality increase coefficient LZ exceeds the preset image quality increase coefficient threshold value, and marking the corresponding remote sensing image as a good image if the image quality increase coefficient LZ does not exceed the preset image quality increase coefficient threshold value.
The remote sensing image quality analysis module is used for carrying out quality analysis on the remote sensing image of the required monitoring area and generating an image qualified signal or an image unqualified signal of the corresponding remote sensing image, the corresponding remote sensing image is marked as a bad image, a good image or a good image, the corresponding analysis information and the marking information are sent to the geographic information monitoring terminal through the server, so that the corresponding monitoring personnel can conveniently and comprehensively know the quality condition of the received remote sensing image in time, the corresponding monitoring personnel can conveniently select and use the remote sensing image, and particularly, the good image is preferably used in the subsequent use, the bad image is selected secondarily, and the use of the bad image is eliminated, so that the accuracy of the subsequent analysis result based on the obtained remote sensing image is ensured.
The vector graphic conversion analysis module converts the remote sensing image into a vector graphic and performs graphic partition comparison so as to judge whether an area early warning signal is generated, and the area early warning signal is sent to the geographic information monitoring terminal through the server when the area early warning signal is generated, so that automatic and accurate analysis of the change condition of the monitored area is realized, the corresponding monitoring personnel can conveniently and timely conduct targeted investigation of the corresponding monitored area, and the workload of the monitoring personnel is saved; the specific operation process of the vector graphic conversion analysis module is as follows:
converting the corresponding remote sensing image into a vector image of a corresponding monitoring area, dividing the vector image of the corresponding monitoring area into a plurality of groups of analysis areas i, i=1, 2, …, n, n represents the number of the analysis areas in the vector image of the corresponding monitoring area, and n is a positive integer greater than 1; the standard vector graph of the corresponding monitoring area is called through the data storage module, the analysis area i is compared with the corresponding part of the standard vector graph, the area location distribution variation quantity of the corresponding analysis area i is obtained through comparison and marked as QBi, the area location distribution variation quantity QBi represents the data value of the ratio of the area of the changed area of the corresponding analysis area i to the total area of the corresponding analysis area i, and the larger the numerical value of the area location distribution variation quantity QBi is, the larger the change of the area corresponding to the analysis area i is;
the method comprises the steps of calling a preset area location distribution change threshold value through a data storage module, marking an analysis region i with the area location distribution change quantity QBi exceeding the preset area location distribution change threshold value as a high difference region, marking an analysis region i with the area location distribution change quantity QBi not exceeding the preset area location distribution change threshold value as a low difference region, obtaining the number of the high difference region and the number of the low difference region in a corresponding monitoring region vector graph, marking the numbers as GC and DC respectively, and carrying out ratio calculation on the number of the high difference region GC and the number of the low difference region DC through a ratio formula BX=GC/DC to obtain a region change coefficient BX;
and the data storage module is used for calling a preset area change threshold value, comparing the area change coefficient BX with the preset area change threshold value in a numerical mode, generating an area early warning signal if the area change coefficient BX exceeds the preset area change threshold value, and not generating the area early warning signal if the area change coefficient does not exceed the preset area change threshold value, wherein the overall change of the corresponding monitoring area is smaller.
If the region change coefficient does not exceed the preset region change threshold, all low-difference regions are obtained and marked as associated regions, the distance between every two associated regions is calculated to obtain corresponding adjacent region distance values, an adjacent region distance set is established for all adjacent region distance values, and variance calculation is carried out on the adjacent region distance set to obtain an adjacent region discrete coefficient LS; it should be noted that, the smaller the value of the neighboring discrete coefficient LS, the smaller the distance change condition between all the associated regions, and the more concentrated all the associated regions;
the data storage module is used for retrieving a preset neighbor discrete threshold value, the neighbor discrete coefficient LS is compared with the preset neighbor discrete threshold value in a numerical mode, if the neighbor discrete coefficient LS does not exceed the preset neighbor discrete threshold value, a high-difference aggregation signal is generated, and the high-difference aggregation signal is sent to the geographic information monitoring terminal through the server, so that the change aggregation area is locked, and the corresponding monitoring personnel can conveniently conduct investigation.
In the third embodiment, as shown in fig. 3, the difference between the present embodiment and embodiments 1 and 2 is that the server is in communication connection with the image acquisition period monitoring module, and the image acquisition period monitoring module is configured to perform period monitoring of remote sensing image acquisition to generate a period monitoring normal signal or a period monitoring abnormal signal corresponding to an image acquisition period, send the period monitoring normal signal or the period monitoring abnormal signal to the geographic information monitoring terminal through the server, and prompt the corresponding monitoring personnel through period acquisition monitoring feedback, so that the corresponding monitoring personnel can make corresponding countermeasures in time to improve the subsequent acquisition status; the specific operation process of the image acquisition period monitoring module is as follows:
setting an image acquisition period, obtaining the frequency of generating an image acquisition reaction qualified signal and the frequency of generating an image acquisition reaction unqualified signal in the image acquisition period, marking the frequency as HP and BP respectively, calculating the ratio of the frequency BP of the image acquisition reaction unqualified signal to the frequency HP of the image acquisition reaction qualified signal through a ratio formula BZ=BP/HP, obtaining an unqualified reaction occupation ratio BZ through the ratio calculation, and obtaining an acquisition reaction effect value XG through the numerical calculation of the ratio of the unqualified reaction occupation ratio BZ and the frequency BP of the image acquisition reaction unqualified signal through a formula XG=ft 1 xBZ+ft 2 xBP; wherein, ft1 and ft2 are preset weight coefficients, and ft1 > ft2 > 0; and the larger the value of the acquired response effect value XG is, the worse the image acquisition response effect in the corresponding image acquisition period is indicated;
the method comprises the steps of obtaining the number of inferior images, the number of good images and the number of superior images which are collected in an image collection period and respectively marked as LS, PS and YS, summing the number of inferior images LS, the number of good images PS and the number of superior images YS to obtain an image collection frequency value PZ, and carrying out numerical calculation on the image collection frequency value PZ, the number of inferior images LS, the number of good images PS and the number of superior images YS through a formula XP= (eu1×LS+eu2×PS+eu3×YS)/PZ to obtain an image collection effect value XP; wherein, eu1, eu2, eu3 are preset weight coefficients and eu1 > eu2 > eu3 > 0; and, the larger the value of the collected image effect value XP is, the worse the collected image effect in the corresponding image collection period is;
the method comprises the steps that a data storage module is used for calling a preset collection reaction effect threshold value and a preset collection image effect threshold value, the collection reaction effect value XG and the collection image effect value XP are respectively compared with the preset collection reaction effect threshold value and the preset collection image effect threshold value in numerical value, and if the collection reaction effect value XG and the collection image effect value XP are smaller than the corresponding threshold values, a periodic monitoring normal signal is generated;
otherwise, carrying out numerical calculation on the collected reaction effect value XG and the collected image effect value XP through a formula ZJ=tk1×XG+tk2×XP to obtain a period monitoring value ZJ of a corresponding image collecting period, wherein tk1 and tk2 are preset weight coefficients, and 0 is more than tk1 and less than tk2; and the data storage module is used for calling a preset period monitoring threshold value, comparing the period monitoring value ZJ with the preset period monitoring threshold value in a numerical mode, generating a period monitoring abnormal signal if the period monitoring value ZJ exceeds the preset period monitoring threshold value, and generating a period monitoring normal signal if the period monitoring value ZJ does not exceed the preset period monitoring threshold value.
The working principle of the invention is as follows: when the remote sensing image acquisition system is used, a remote sensing image acquisition request is sent and a corresponding remote sensing image is received through the remote sensing image acquisition analysis module, and an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal of the corresponding remote sensing image is generated through remote sensing image acquisition analysis, so that corresponding supervisory personnel are timely reminded, and the corresponding supervisory personnel can conveniently perform corresponding regulation and control to ensure the acquisition efficiency and the reaction efficiency of the subsequent remote sensing images; the remote sensing image quality analysis module is used for carrying out quality analysis on the remote sensing image of the required monitoring area, generating an image qualified signal or an image unqualified signal of the corresponding remote sensing image, marking the corresponding remote sensing image as a inferior image, a good image or a superior image, so that the corresponding supervisory personnel can conveniently and comprehensively know the quality condition of the received remote sensing image in time, and conveniently select and use the remote sensing image by the corresponding supervisory personnel; the remote sensing image is converted into the vector image through the vector image conversion analysis module and the image partition comparison is carried out so as to judge whether the area early warning signal is generated or not, so that the automatic and accurate analysis of the change condition of the monitoring area is realized, the corresponding monitoring personnel can conveniently and timely carry out the targeted investigation of the corresponding monitoring area, and the workload of the monitoring personnel is saved.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The vector geographic information acquisition method based on the remote sensing image is characterized by comprising the following steps of:
step one, a remote sensing image acquisition analysis module sends a remote sensing image acquisition request and receives a corresponding remote sensing image, and generates an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal through remote sensing image acquisition analysis;
secondly, the remote sensing image quality analysis module carries out quality analysis on the remote sensing image of the area to be monitored and generates an image qualified signal or an image unqualified signal of the corresponding remote sensing image;
and thirdly, converting the remote sensing image into a vector image by the vector image conversion analysis module and comparing the image partitions to judge whether to generate a regional early warning signal.
2. The vector geographic information acquisition system based on the remote sensing image is characterized by comprising a server, a remote sensing image acquisition and analysis module, a remote sensing image quality analysis module, a vector graphic conversion and analysis module and an image acquisition period monitoring module; the remote sensing image acquisition analysis module is used for sending a remote sensing image acquisition request, receiving a corresponding remote sensing image, generating an image acquisition reaction qualified signal or an image acquisition reaction unqualified signal of the corresponding remote sensing image through remote sensing image acquisition analysis, and sending the image acquisition reaction qualified signal or the image acquisition reaction unqualified signal to the geographic information monitoring terminal through the server;
the remote sensing image quality analysis module is used for carrying out quality analysis on the remote sensing image of the required monitoring area and generating an image qualified signal or an image unqualified signal of the corresponding remote sensing image, marking the corresponding remote sensing image as a inferior image, a good image or a superior image, and sending corresponding analysis information and marking information to the geographic information supervision terminal through the server;
the vector graphic conversion analysis module converts the remote sensing image into a vector graphic and performs graphic partition comparison so as to judge whether to generate a regional early warning signal, and the regional early warning signal is sent to the geographic information supervision terminal through the server when the regional early warning signal is generated; the image acquisition period monitoring module is used for performing period monitoring of remote sensing image acquisition to generate a period monitoring normal signal or a period monitoring abnormal signal corresponding to the image acquisition period, and the period monitoring normal signal or the period monitoring abnormal signal is sent to the geographic information monitoring terminal through the server.
3. The system for collecting vector geographic information based on remote sensing images according to claim 2, wherein the specific operation process of the remote sensing image collecting and analyzing module comprises the following steps:
a remote sensing image acquisition request corresponding to a monitoring area is sent out, a request sending time and a request response time of the remote sensing image acquisition request are acquired, a response speed value is acquired by calculating the difference between the request response time and the request sending time, an image transmission starting time, an image transmission ending time and an image storage value are acquired, an image transmission duration value is acquired by calculating the difference between the image transmission ending time and the image transmission starting time, and an image transmission efficiency evaluation value of the acquired remote sensing image is acquired by calculating the ratio of the image storage value to the image transmission duration value; if the response speed value is smaller than the preset response speed threshold value and the image transmission efficiency evaluation value is larger than or equal to the preset image transmission efficiency evaluation threshold value, generating an image acquisition reaction qualified signal, and otherwise, generating an image acquisition reaction unqualified signal.
4. The system for collecting vector geographic information based on remote sensing images according to claim 2, wherein the specific operation process of the remote sensing image quality analysis module comprises:
obtaining a remote sensing image of a required monitoring area, obtaining image definition, image signal-to-noise ratio, image information entropy, image gray variance and image average gradient of a corresponding remote sensing image, judging that the quality of the corresponding remote sensing image is qualified and generating an image qualified signal if the image definition, the image signal-to-noise ratio, the image information entropy, the image gray variance and the image average gradient are all larger than or equal to corresponding preset thresholds, otherwise judging that the quality of the corresponding remote sensing image is unqualified and generating an image unqualified signal, and marking the corresponding remote sensing image as a inferior image.
5. The remote sensing image-based vector geographic information acquisition system as set forth in claim 4, wherein the image definition is a data value for representing the image definition, and the larger the value of the image definition is, the better the corresponding image quality is; the larger the value of the signal-to-noise ratio of the image is, the better the corresponding image quality is; the larger the value of the image information entropy is, the more the information quantity is, and the better the image quality is; the image gray variance reflects the discrete condition of the gray of each pixel of the image relative to the gray average value, and the larger the numerical value of the image gray variance is, the richer the gray level of the image is, and the better the image quality is; the image average gradient reflects the image's ability to contrast the tiny details, the larger the value of the image average gradient, the better the image quality.
6. The system for collecting vector geographic information based on remote sensing images according to claim 4, wherein when generating qualified signals of the images, performing difference calculation on the definition of the images and a preset definition threshold of the images to obtain a definition increasing value, and performing numerical calculation on the definition increasing value, the signal-to-noise ratio increasing value, the information entropy increasing value, the gray variance increasing value and the gradient increasing value to obtain an image quality increasing coefficient; and if the image quality increase coefficient does not exceed the preset image quality increase coefficient threshold, marking the corresponding remote sensing image as a good-grade image.
7. The system for collecting vector geographic information based on remote sensing images according to claim 2, wherein the specific operation process of the image collecting period monitoring module comprises:
setting an image acquisition period, analyzing and acquiring an acquisition response effect value corresponding to the image acquisition period through an acquisition response period, analyzing and acquiring an acquisition image effect value corresponding to the image acquisition period through an acquisition quality period, respectively comparing the acquisition response effect value and the acquisition image effect value with a preset acquisition response effect threshold value and a preset acquisition image effect threshold value in numerical values, and generating a period monitoring normal signal if the acquisition response effect value and the acquisition image effect value are smaller than the corresponding threshold values; otherwise, carrying out numerical calculation on the acquired response effect value and the acquired image effect value to acquire a period monitoring value corresponding to the image acquisition period, generating a period monitoring abnormal signal if the period monitoring value exceeds a preset period monitoring threshold value, and generating a period monitoring normal signal if the period monitoring value does not exceed the preset period monitoring threshold value.
8. The remote sensing image-based vector geographic information acquisition system as claimed in claim 7, wherein the specific analysis process of the acquisition reaction period analysis is as follows:
acquiring the frequency of generating an image acquisition reaction qualified signal and the frequency of generating an image acquisition reaction unqualified signal in an image acquisition period, calculating the ratio of the frequency of the image acquisition reaction unqualified signal to the frequency of the image acquisition reaction qualified signal to acquire an unqualified reaction ratio, and calculating the numerical value of the unqualified reaction ratio to the frequency of the image acquisition reaction unqualified signal to acquire an acquisition reaction effect value;
the specific analysis process of the acquisition quality period analysis is as follows:
the method comprises the steps of obtaining the number of inferior images, the number of good images and the number of superior images which are collected in an image collection period, summing the number of inferior images, the number of good images and the number of superior images to obtain an image collection frequency value, and carrying out numerical calculation on the image collection frequency value, the number of inferior images, the number of good images and the number of superior images to obtain an image collection effect value.
9. The system for collecting vector geographic information based on remote sensing images according to claim 2, wherein the specific operation process of the vector graphics conversion analysis module comprises:
converting the corresponding remote sensing image into a vector image of a corresponding monitoring area, dividing the vector image of the corresponding monitoring area into a plurality of groups of analysis areas i, i=1, 2, …, n, n represents the number of the analysis areas in the vector image of the corresponding monitoring area, and n is a positive integer greater than 1; the standard vector graph of the corresponding monitoring area is called, the analysis region i is compared with the corresponding part of the standard vector graph, the region position distribution variation quantity of the corresponding analysis region i is obtained through comparison, and the region position distribution variation quantity represents the data value of the ratio of the area of the changed region of the corresponding analysis region i to the total area of the corresponding analysis region i;
marking an analysis region i with the region position distribution variation exceeding a preset region position distribution variation threshold as a high difference region, marking an analysis region i with the region position distribution variation not exceeding the preset region position distribution variation threshold as a low difference region, obtaining the number of the high difference regions and the number of the low difference regions in the corresponding monitoring region vector graph, and calculating the ratio of the number of the high difference regions to the number of the low difference regions to obtain a region variation coefficient; and calling a preset region change threshold value through the data storage module, comparing the region change coefficient with the preset region change threshold value in a numerical mode, and generating a region early warning signal if the region change coefficient exceeds the preset region change threshold value.
10. The system for collecting vector geographic information based on remote sensing images according to claim 9, wherein if the regional variation coefficient does not exceed a preset regional variation threshold, all low-difference regions are obtained and marked as associated regions, the distance between every two associated regions is calculated to obtain corresponding adjacent region interval values, all adjacent region interval values are established to form an adjacent region interval set, and variance calculation is performed on the adjacent region interval set to obtain an adjacent region discrete coefficient; if the neighbor cell discrete coefficient does not exceed the preset neighbor cell discrete threshold, generating a high-difference aggregation signal, and sending the high-difference aggregation signal to the geographic information supervision terminal through the server.
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