CN115410104B - Data processing system for acquiring image acquisition points of aircraft - Google Patents
Data processing system for acquiring image acquisition points of aircraft Download PDFInfo
- Publication number
- CN115410104B CN115410104B CN202211128287.7A CN202211128287A CN115410104B CN 115410104 B CN115410104 B CN 115410104B CN 202211128287 A CN202211128287 A CN 202211128287A CN 115410104 B CN115410104 B CN 115410104B
- Authority
- CN
- China
- Prior art keywords
- target
- image acquisition
- geographic area
- acquisition point
- aircraft
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/17—Terrestrial scenes taken from planes or by drones
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a data processing system for acquiring image acquisition points of an aircraft, which comprises a database, a processor and a memory for storing a computer program, wherein the database comprises position information of a target geographical area, an initial image acquisition point list corresponding to the target aircraft and an image set corresponding to the target aircraft, and when the computer program is executed by the processor, the following steps are realized: and acquiring a third geographical area list according to the first geographical area list and the second geographical area list, acquiring a target priority list according to the third geographical area list, and acquiring a target image acquisition point corresponding to the target aircraft through optimizing the initial image acquisition point position. According to the method, the target priority of the initial image acquisition point is acquired, and the corresponding priority is continuously acquired through optimizing the position of the initial image acquisition point, so that the accuracy of the acquired target image acquisition point corresponding to the target aircraft is higher.
Description
Technical Field
The invention relates to the field of image processing, in particular to a data processing system for acquiring an image acquisition point of an aircraft.
Background
With life intellectualization, aircraft are increasingly widely applied in various fields, and more industries like to solve some troublesome things by using aircrafts, such as: the spraying of pesticide, the inspection of wire lines, the mastering of traffic conditions and the like, the aircraft provides great help for both daily life problems and social just-needed problems, and nowadays, various fields utilize the aircraft to shoot so as to acquire required information and how to acquire the image acquisition points of the aircraft, so that the shooting effect of the aircraft becomes the main stream direction of people research optimally.
At present, in the prior art, a method for acquiring an aircraft image acquisition point comprises the following steps: image data are acquired through reconnaissance, image retrieval is carried out by utilizing image features and a matching technology, low-layer visual features are analyzed and extracted from images to form a feature vector set, the similarity degree between the images is acquired by calculating the distance between the feature vectors in a selected distance space, and therefore the image acquisition points of the aircraft are acquired, and the problems of the method for acquiring the image acquisition points of the aircraft are solved:
on one hand, because the collected original image data is complex, the image characteristics are limited in matching, the original data is destroyed, and the practicability of target information is reduced;
on the other hand, due to the limited nature of the method, the acquired image is limited to the initially selected image acquisition point, resulting in a lower accuracy of the acquired target image acquisition point corresponding to the target aircraft.
Disclosure of Invention
Aiming at the technical problems, the invention adopts the following technical scheme: a data processing system for acquiring an image acquisition point of an aircraft, the system comprising: a database, a processor and a memory storing a computer program, wherein the database comprises position information of a target geographic area and an initial image acquisition point list D= { D corresponding to a target aircraft 1 ，……，D s ，……，D n Image set a= { a corresponding to target aircraft 1 ,……，A s ，……，A n }，D s For the initial image acquisition point corresponding to the target aircraft, A s For D s The corresponding initial image list, s= … … n, n being the number of target aircraft, when the computer program is executed by the processor, implements the steps of:
s100, according to A, acquiring a first geographic area list G= { G 1 ，……，G s ，……，G n }，G s Is A s Position information of the corresponding first geographical area.
S200, acquiring a second geographical area list U= { U according to the position information of the target geographical area 1 ，……，U j ，……，U m }，U j ＝{U j1 ，……，U je ，……，U jq(j) }，U je ＝(X je ，Y je )，X je For a first coordinate value of an e second vertex of a j second geographic area in the target geographic area on an X axis in a second coordinate system, Y je For the second coordinate value of the e second vertex of the j second geographic area in the target geographic area on the Y axis in the second coordinate system, j= … … m, m is the number of second geographic areas, e= … … q (j), and q (j) is the number of second vertices in the j second geographic area.
S300 according to G s And U j Acquiring a third geographical area list T s ＝{T s1 ,……，T sj ，……，T sm }，T sj ＝{T 1 sj ，……，T d sj ，……，T g(j) sj },T d sj ＝(X d sj ，Y d sj )，X d sj Is G s A first coordinate value of the d third vertex in the second coordinate system on the X axis in the corresponding j third geographic area, Y d sj Is G s A second coordinate value of the d third vertex in the second coordinate system on the Y-axis in the corresponding j-th third geographic area, d=1 … … G (j), G (j) being G s A corresponding j-th third number of vertices in the third geographic area.
S400, according to U je And T d sj Obtaining a target priority list D ' = { D ' corresponding to D ' 1 ，……，D' s ，……，D' n }，D' s For D s Wherein D' s Meets the following conditions:
S500 according to D s And D' s Obtaining an intermediate priority list C= { C corresponding to D 1k ，……，C sk ，……，C nk }，C sk For D s The intermediate priority of the corresponding kth optimization process.
S600, according to k and C sk And acquiring a target image acquisition point corresponding to the target aircraft.
Compared with the prior art, the data processing system for acquiring the target point of the aircraft can achieve quite technical progress and practicality, has wide industrial utilization value, and has at least the following beneficial effects:
the invention provides a data processing system for acquiring an image acquisition point of an aircraft, which comprises the following components: the system comprises a database, a processor and a memory storing a computer program, wherein the database comprises position information of a target geographic area, an initial image acquisition point list corresponding to a target aircraft and an image set corresponding to the target aircraft, and when the computer program is executed by the processor, the following steps are realized: the method comprises the steps of obtaining a first geographical area list and a second geographical area list, obtaining a third geographical area list according to the first geographical area list and the second geographical area list, obtaining a target priority list according to the third geographical area list, and obtaining corresponding priorities through continuous optimization processing of initial image acquisition point positions so as to obtain target image acquisition points corresponding to a target aircraft. The invention provides a data processing system for acquiring an image acquisition point of an aircraft, which is not limited to image characteristics any more on one hand, and enhances the practicability of target information on the basis of not damaging original data by fusion processing of a plurality of data of a coordinate system; on the other hand, the method is not limited to the selected initial image acquisition point any more, and the target priority of the initial image acquisition point is acquired, and the corresponding priority is continuously acquired through optimizing the position of the initial image acquisition point, so that the accuracy of the acquired target image acquisition point corresponding to the target aircraft is higher.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
Fig. 1 is a flowchart of an execution computer program of a data processing system for acquiring an image acquisition point of an aircraft according to an 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 fall within the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present embodiment provides a data processing system for acquiring an image acquisition point of an aircraft, the system comprising: a database, a processor and a memory storing a computer program, wherein the database comprises position information of a target geographic area and an initial image acquisition point list D= { D corresponding to a target aircraft 1 ，……，D s ，……，D n Image set a= { a corresponding to target aircraft 1 ,……，A s ，……，A n }，D s For the initial image acquisition point corresponding to the target aircraft, A s For D s The corresponding initial image list, s= … … n, n is the number of target aircraft, when the computer program is executed by the processor, the following steps are implemented, as shown in fig. 1:
s100, according to A, acquiring a first geographic area list G= { G 1 ，……，G s ，……，G n }，G s Is A s Position information of the corresponding first geographical area.
Specifically, the target aircraft is an aircraft provided with a camera device and having a flight speed not less than a preset flight speed threshold.
Further, the value range of the preset flying speed threshold value is 200-250km/h.
Specifically, the first geographic area is an area of ground imaging dynamically acquired by the image pickup device when the image pickup device picks up the target geographic area.
Specifically, the step S100 further includes the following steps:
s101, traversing A s And from A s The method comprises the steps of obtaining a first initial image as a target image, wherein the initial image is obtained by shooting a target geographic area through the camera device.
S103, obtaining A s Vertex list E of corresponding target image s ＝{E 1 s ，……，E i s ，……，E t s }，E i s ＝(E i1 s ，E i2 s ，E i3 s )，E i1 s Is A s A first intermediate coordinate value of the ith vertex of the corresponding target image on the X-axis of the first coordinate system, E i2 s Is A s A second intermediate coordinate value on the Y-axis of the first coordinate system of the ith vertex of the corresponding target image, E i3 s Is A s A third intermediate coordinate value of the ith vertex of the corresponding target image on the Z-axis of the first coordinate system, i= … … t, t being a s The number of vertices of the corresponding target image.
Preferably, when t=4, E s ＝{E 1 s ，E 2 s ，E 3 s ，E 4 s E, where E 1 s ＝(E 11 s ，E 12 s ，E 13 s )，E 2 s ＝(E 21 s ，E 22 s ，E 23 s )，E 3 s ＝(E 31 s ，E 32 s ，E 33 s )，E 4 s ＝(E 41 s ，E 42 s ，E 43 s ) Wherein E is 11 s 、E 21 s 、E 31 s And E is 41 s Meets the following conditions: e (E) 11 s ＝E 21 s ＝E 31 s ＝E 41 s =1, at the same time, E 12 s 、E 22 s 、E 32 s And E is 42 s Meets the following conditions: e (E) 12 s ＝E 32 s ＝tan(1/θ 1 ) And E is 22 s ＝E 42 s ＝-tan(1/θ 1 ) At the same time E 13 s 、E 23 s 、E 33 s And E is 43 s Meets the following conditions: e (E) 13 s ＝E 23 s ＝-tan(1/θ 2 ) And E is 33 s ＝E 43 s ＝tan(1/θ 2 ) Wherein θ 1 Is A s Horizontal angle of view, θ 2 Is A s Is a vertical field angle of view of (2).
S105, according to E i s Obtaining E i s Corresponding target vertex coordinates G i s ＝(X i s ，Y i s )，X i s Is A s First coordinate value on X-axis in second coordinate system of ith vertex of corresponding target image, Y i s Is A s The method for converting the coordinate values in the spatial coordinate system into the coordinate values of the geocentric coordinate system in the prior art is known to those skilled in the art, and is not described herein.
By means of the coordinate conversion, the azimuth and distance relation between different positions can be measured, various coordinate data are fused, the practicability of target information is enhanced, and the accuracy of the target image acquisition point corresponding to the obtained target aircraft is high.
S200, acquiring a second geographical area list U= { U according to the position information of the target geographical area 1 ，……，U j ，……，U m }，U j ＝{U j1 ，……，U je ，……，U jq(j) }，U je ＝(X je ，Y je )，X je For a first coordinate value of an e second vertex of a j second geographic area in the target geographic area on an X axis in a second coordinate system, Y je For the second coordinate value of the e second vertex of the j second geographic area in the target geographic area on the Y axis in the second coordinate system, j= … … m, m is the number of second geographic areas, e= … … q (j), and q (j) is the number of second vertices in the j second geographic area.
Specifically, X je Meets the following conditions:
Further, Y je Meets the following conditions:
specifically, the second geographical area is a sub-geographical area obtained by performing area division on the target geographical area, where a person skilled in the art knows that any area division method in the prior art belongs to the protection scope of the present invention, and is not described herein again.
S300 according to G s And U j ObtainingGet third geographical area list T s ＝{T s1 ,……，T sj ，……，T sm }，T sj ＝{T 1 sj ，……，T d sj ，……，T g(j) sj },T d sj ＝(X d sj ，Y d sj )，X d sj Is G s A first coordinate value of the d third vertex in the second coordinate system on the X axis in the corresponding j third geographic area, Y d sj Is G s A second coordinate value of the d third vertex in the second coordinate system on the Y-axis in the corresponding j-th third geographic area, d=1 … … G (j), G (j) being G s A corresponding j-th third number of vertices in the third geographic area.
Specifically, the third geographic area is a geographic area overlapping between the first geographic area and any of the second geographic areas, which may be understood as: by E i s And U je The method for determining the third geographic area through the coordinate points in the prior art is known to those skilled in the art, and will not be described herein.
By obtaining G s And U j Each region T of intersection sj The method can ensure the integrity of the data of the target geographic area, enhances the practicability of the target information, and ensures that the accuracy of the target image acquisition point corresponding to the obtained target aircraft is higher.
Specifically, in S300, T d sj Acquisition mode and U of (2) je The acquisition modes of the obtained images are consistent.
S400, according to U je And T d sj Obtaining a target priority list D ' = { D ' corresponding to D ' 1 ，……，D' s ，……，D' n }，D' s For D s Wherein D' s Meets the following conditions:
Specifically, W 1 ＞……＞W j ＞……＞W m 。
By acquiring the target priority of the initial image acquisition point corresponding to the target aircraft, preparation is made for subsequent optimization processing, so that the accuracy of the acquired target image acquisition point corresponding to the target aircraft is higher.
S500 according to D s And D' s Obtaining an intermediate priority list C= { C corresponding to D 1k ，……，C sk ，……，C nk }，C sk For D s The intermediate priority of the corresponding kth optimization process.
Specifically, in S500, the following steps are further included:
s501 according to D s And D' s Obtaining D s Corresponding critical priority list C s ＝{C s1 ，……，C sr ，……，C sk }，C sr For D s The corresponding r-th key priority, r= … … k, k is the optimization frequency of the optimization treatment on D, wherein C s1 ＜……＜C sr ＜……＜C sk 。
Specifically, in S501, the following steps are further included:
s5011, obtain D s Position information P of corresponding initial coordinate point 0 s 。
S5013, according to P 0 s Obtaining D s Corresponding intermediate coordinate point list P s ＝{P s1 ，……，P sr ，……，P sk }，P sr For the r-th optimization treatment, the obtained D s Position information of an intermediate coordinate point of (1), wherein P sr Meets the following conditions:
P sr ＝P s(r-1) +V s(r) further it can be understood that: v (V) s(r) The flight speed of the target aircraft in the r-th optimization process is set to 0 and the initial flight speed of the target aircraft is set to 0.
Further, V s(r) Conforming to e.g.The following conditions were:
V s(r) ＝(1-r/k)×V s(r-1) +λ×(δ 1 +δ 2 )×(P max (r-1) -P s(r-1) ) Wherein P is max (r-1) P for the position information of the coordinate point corresponding to the maximum key priority in all the key priority lists corresponding to D in the r-1 th optimization process s(r-1) For D in the r-1 th optimization process s Position information of intermediate coordinate point of delta 1 And delta 2 Is a random number and delta 1 And delta 2 E (0, 1), further understood as: v (V) s(r-1) The flight speed of the target aircraft in the optimization process is set to 0 for the r-1 st time and the initial flight speed of the target aircraft is set to 0.
S5015, according to P sr Obtaining C sr Wherein the acquisition C sr Mode and acquisition of D' s In a consistent manner.
S503, according to all C s C is obtained.
By optimizing the initial image acquisition points corresponding to the target aircraft, the priority corresponding to the initial image acquisition points after the optimization is acquired, and the priority is not limited to the initially selected image acquisition points, so that the accuracy of the acquired target image acquisition points corresponding to the target aircraft is higher.
S600, according to k and C sk And acquiring a target image acquisition point corresponding to the target aircraft.
Specifically, in S600, the following steps are further included:
s601, when k is greater than or equal to k 0 When the initial image acquisition point corresponding to the maximum priority is acquired from C as the target image acquisition point, wherein k is 0 And the threshold value of the optimization times is preset.
Specifically, the preset threshold value K of the optimization times 0 The range of the value of (2) is 100-500.
Preferably, the preset optimizing frequency threshold K 0 The value of (2) is 200.
The optimization frequency can ensure the effectiveness of the optimization process, and can improve the efficiency of the optimization process, so that the accuracy of the target image acquisition point corresponding to the obtained target aircraft is higher.
S603, when k is less than k 0 And C sk ≥C 0 At the time, C sk The corresponding initial image acquisition point is taken as a target image acquisition point, wherein C 0 Is a preset priority threshold.
Specifically, a preset priority threshold C 0 Meets the following conditions:
C 0 ＝F 0 +C max wherein C max Is the maximum value in D', F 0 A first preset threshold value.
Specifically, the first preset threshold F 0 The value range of (2) is 0.05-0.15.
Specifically, the first preset threshold F 0 The value of (2) is 0.1.
S605, when k < k 0 And C sk ＜C 0 At that time, S500 is repeatedly performed until k'. Gtoreq.k 0 Or C sk' ≥C 0 Wherein k' is the target optimization number acquired by repeatedly executing S500, C sk' The acquired target priority is repeatedly performed S500.
In another specific embodiment, S600 may also be implemented by:
s601, when C sk ≥C 0 At the time, C sk The corresponding initial image acquisition point is taken as a target image acquisition point, wherein C 0 Is a preset priority threshold.
S603, when C sk ＜C 0 And when k is greater than or equal to k 0 And acquiring an initial image acquisition point corresponding to the maximum priority from the C as a target image acquisition point.
S605, when C sk ＜C 0 And when k < k 0 At that time, S500 is repeatedly performed until k'. Gtoreq.k 0 Or C sk' ≥C 0 Wherein k' is the target optimization number acquired by repeatedly executing S500, C sk' The acquired target priority is repeatedly performed S500.
According to the method, the initial image acquisition points corresponding to the target aircraft are subjected to optimization processing, the priorities corresponding to the optimized image acquisition points are continuously acquired, and when the target priorities meet the conditions, the optimized target image acquisition points are acquired and are not limited to the selected initial image acquisition points, so that the accuracy of the acquired target image acquisition points corresponding to the target aircraft is higher.
The invention provides a data processing system for acquiring an image acquisition point of an aircraft, which comprises the following components: the system comprises a database, a processor and a memory storing a computer program, wherein the database comprises position information of a target geographic area, an initial image acquisition point list corresponding to a target aircraft and an image set corresponding to the target aircraft, and when the computer program is executed by the processor, the following steps are realized: the method comprises the steps of obtaining a first geographical area list and a second geographical area list, obtaining a third geographical area list according to the first geographical area list and the second geographical area list, obtaining a target priority list according to the third geographical area list, and obtaining corresponding priorities through continuous optimization processing of initial image acquisition point positions so as to obtain target image acquisition points corresponding to a target aircraft. The invention provides a data processing system for acquiring an image acquisition point of an aircraft, which is not limited to image characteristics any more on one hand, and enhances the practicability of target information on the basis of not damaging original data by fusion processing of a plurality of data of a coordinate system; on the other hand, the method is not limited to the selected initial image acquisition point any more, and the target priority of the initial image acquisition point is acquired, and the corresponding priority is continuously acquired through optimizing the position of the initial image acquisition point, so that the accuracy of the acquired target image acquisition point corresponding to the target aircraft is higher.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (6)
1. A data processing system for acquiring an image acquisition point of an aircraft, the system comprising: a database, a processor and a memory storing a computer program, wherein the database comprises position information of a target geographic area and an initial image acquisition point list D= { D corresponding to a target aircraft 1 ，……，D s ，……，D n Image set a= { a corresponding to target aircraft 1 ,……，A s ，……，A n }，D s For the initial image acquisition point corresponding to the target aircraft, A s For D s The corresponding initial image list, s= … … n, n being the number of target aircraft, when the computer program is executed by the processor, implements the steps of:
s100, according to A, acquiring a first geographic area list G= { G 1 ，……，G s ，……，G n }，G s Is A s The location information of the corresponding first geographical area, wherein in S100 further comprises the following steps:
s101, traversing A s And from A s A first initial image is taken as a target image, wherein the initial image is obtained by shooting a target geographic area through a camera device;
s103, obtaining A s Vertex list E of corresponding target image s ＝{E 1 s ，……，E i s ，……，E t s }，E i s ＝(E i1 s ，E i2 s ，E i3 s )，E i1 s Is A s A first intermediate coordinate value of the ith vertex of the corresponding target image on the X-axis of the first coordinate system, E i2 s Is A s A second intermediate coordinate value on the Y-axis of the first coordinate system of the ith vertex of the corresponding target image, E i3 s Is A s Third intermediate coordinate value of ith vertex of corresponding target image in Z-axis of first coordinate system, i= … … t, tIs A s The number of vertices of the corresponding target image;
s105, according to E i s Obtaining E i s Corresponding target vertex coordinates G i s ＝(X i s ，Y i s )，X i s Is A s First coordinate value on X-axis in second coordinate system of ith vertex of corresponding target image, Y i s Is A s A second coordinate value on the Y-axis in a second coordinate system of the ith vertex of the corresponding target image;
s200, acquiring a second geographical area list U= { U according to the position information of the target geographical area 1 ，……，U j ，……，U m }，U j ＝{U j1 ，……，U je ，……，U jq(j) }，U je ＝(X je ，Y je )，X je For a first coordinate value of an e second vertex of a j second geographic area in the target geographic area on an X axis in a second coordinate system, Y je For a second coordinate value of an e-th second vertex of a j-th second geographic area in the target geographic area on a Y-axis in a second coordinate system, j= … … m, m is the number of second geographic areas, e= … … q (j), q (j) is the number of second vertices in the j-th second geographic area; wherein the second geographic area is a sub-geographic area obtained by dividing the target geographic area into areas, X je Meets the following conditions:
further, Y je Meets the following conditions:
s300 according to G s And U j Acquiring a third geographical area list T s ＝{T s1 ,……，T sj ，……，T sm }，T sj ＝{T 1 sj ，……，T d sj ，……，T g(j) sj },T d sj ＝(X d sj ，Y d sj )，X d sj Is G s A first coordinate value of the d third vertex in the second coordinate system on the X axis in the corresponding j third geographic area, Y d sj Is G s A second coordinate value of the d third vertex in the second coordinate system on the Y-axis in the corresponding j-th third geographic area, d=1 … … G (j), G (j) being G s A third vertex number in a corresponding j-th third geographic area, wherein the third geographic area is a geographic area overlapping between the first geographic area and any one of the second geographic areas, T d sj Acquisition mode and U of (2) je The acquisition modes of the two are consistent;
s400, according to U je And T d sj Obtaining a target priority list D ' = { D ' corresponding to D ' 1 ，……，D' s ，……，D' n }，D' s For D s Wherein D' s Meets the following conditions:
s500 according to D s And D' s Obtaining an intermediate priority list C= { C corresponding to D 1k ，……，C sk ，……，C nk }，C sk For D s Intermediate priority of the corresponding kth optimization process, wherein in S500The method comprises the following steps:
s501 according to D s And D' s Obtaining D s Corresponding critical priority list C s ＝{C s1 ，……，C sr ，……，C sk }，C sr For D s The corresponding r-th key priority, r= … … k, k is the optimization frequency of the optimization treatment on D, wherein C s1 ＜……＜C sr ＜……＜C sk ；
S503, according to all C s C, obtaining a C;
s600, according to k and C sk The method comprises the steps of obtaining a target image acquisition point corresponding to a target aircraft, wherein the step of S600 further comprises the following steps:
s601, when k is greater than or equal to k 0 When the initial image acquisition point corresponding to the maximum priority is acquired from C as the target image acquisition point, wherein k is 0 A preset optimization frequency threshold value;
s603, when k is less than k 0 And C sk ≥C 0 At the time, C sk The corresponding initial image acquisition point is taken as a target image acquisition point, wherein C 0 A preset priority threshold value;
s605, when k < k 0 And C sk ＜C 0 At that time, S500 is repeatedly performed until k'. Gtoreq.k 0 Or C sk' ≥C 0 Wherein k' is the target optimization number acquired by repeatedly executing S500, C sk' The acquired target priority is repeatedly performed S500.
2. The data processing system for acquiring an image acquisition point of an aircraft according to claim 1, wherein the target aircraft is an aircraft equipped with a camera device and having a flight speed not less than a preset flight speed threshold, wherein the preset flight speed threshold has a value ranging from 200 km/h to 250km/h.
3. The data processing system for acquiring an image acquisition point of an aircraft according to claim 1, wherein X is je And X d sj Are all the secondCoordinate values on the X-axis in the coordinate system.
4. A data processing system for acquiring an image acquisition point of an aircraft according to claim 3, wherein Y je And Y d sj Are all coordinate values on the Y axis under the second coordinate system.
5. The data processing system for acquiring an image acquisition point of an aircraft according to claim 1, wherein W 1 ＞……＞W j ＞……＞W m 。
6. The data processing system for acquiring an image acquisition point of an aircraft according to claim 1, further comprising the step of, in S600:
s601, when C sk ≥C 0 At the time, C sk The corresponding initial image acquisition point is taken as a target image acquisition point, wherein C 0 A preset priority threshold value;
s603, when C sk ＜C 0 And when k is greater than or equal to k 0 When the image acquisition point is used, an initial image acquisition point corresponding to the maximum priority is acquired from the C and is used as a target image acquisition point;
s605, when C sk ＜C 0 And when k < k 0 At that time, S500 is repeatedly performed until k'. Gtoreq.k 0 Or C sk' ≥C 0 Wherein k' is the target optimization number acquired by repeatedly executing S500, C sk' The acquired target priority is repeatedly performed S500.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211128287.7A CN115410104B (en) | 2022-09-16 | 2022-09-16 | Data processing system for acquiring image acquisition points of aircraft |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211128287.7A CN115410104B (en) | 2022-09-16 | 2022-09-16 | Data processing system for acquiring image acquisition points of aircraft |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115410104A CN115410104A (en) | 2022-11-29 |
| CN115410104B true CN115410104B (en) | 2023-06-16 |
Family
ID=84166784
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211128287.7A Active CN115410104B (en) | 2022-09-16 | 2022-09-16 | Data processing system for acquiring image acquisition points of aircraft |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115410104B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115797849B (en) * | 2023-02-03 | 2023-04-28 | 以萨技术股份有限公司 | Data processing system for determining abnormal behavior based on image |
| CN116092023B (en) * | 2023-02-03 | 2023-10-20 | 以萨技术股份有限公司 | Data processing system for determining abnormal behaviors |
| CN116011695B (en) * | 2023-03-27 | 2023-06-30 | 湖南胜云光电科技有限公司 | Data processing system for acquiring target path of unmanned aerial vehicle |
| CN117474392B (en) * | 2023-10-30 | 2024-05-03 | 北京香田智能科技有限公司 | Grower potential analysis system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115048925A (en) * | 2022-08-15 | 2022-09-13 | 中科雨辰科技有限公司 | Data processing system for determining abnormal text |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2897163B1 (en) * | 2006-02-08 | 2008-04-11 | Thales Sa | METHOD FOR GEO-LOCALIZATION OF ONE OR MORE TARGETS |
| JP7089581B2 (en) * | 2018-11-21 | 2022-06-22 | 広州極飛科技股▲ふん▼有限公司 | Surveying survey sample point planning method, surveying survey sample point planning device, control terminal and computer storage medium |
| CN110926475B (en) * | 2019-12-03 | 2021-04-27 | 北京邮电大学 | Unmanned aerial vehicle waypoint generation method and device and electronic equipment |
| CN111192362B (en) * | 2019-12-17 | 2023-04-11 | 武汉理工大学 | Working method of virtual compound eye system for real-time acquisition of dynamic three-dimensional geographic scene |
| US11741487B2 (en) * | 2020-03-02 | 2023-08-29 | PlaceIQ, Inc. | Characterizing geographic areas based on geolocations reported by populations of mobile computing devices |
| CN112884764A (en) * | 2021-03-24 | 2021-06-01 | 深圳前海微众银行股份有限公司 | Method and device for extracting land parcel in image, electronic equipment and storage medium |
| CN113220027B (en) * | 2021-05-08 | 2022-04-08 | 北京大学 | Concave polygon area unmanned aerial vehicle flight path planning based on remote sensing task |
| CN113837246B (en) * | 2021-09-06 | 2022-12-27 | 广州极飞科技股份有限公司 | Image matching method and device and unmanned equipment |
| CN114140513A (en) * | 2021-11-23 | 2022-03-04 | 江西裕丰智能农业科技有限公司 | Method and device for measuring area of agricultural land and computer equipment |
| CN114625166B (en) * | 2022-03-03 | 2024-04-30 | 江苏方天电力技术有限公司 | Intelligent positioning method for shooting position of unmanned aerial vehicle |
-
2022
- 2022-09-16 CN CN202211128287.7A patent/CN115410104B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115048925A (en) * | 2022-08-15 | 2022-09-13 | 中科雨辰科技有限公司 | Data processing system for determining abnormal text |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115410104A (en) | 2022-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115410104B (en) | Data processing system for acquiring image acquisition points of aircraft | |
| CN107729808B (en) | Intelligent image acquisition system and method for unmanned aerial vehicle inspection of power transmission line | |
| CN112085844B (en) | Unmanned aerial vehicle image rapid three-dimensional reconstruction method for field unknown environment | |
| Bansal et al. | Geo-localization of street views with aerial image databases | |
| CN107133325B (en) | Internet photo geographic space positioning method based on street view map | |
| Zhang et al. | Photogrammetric processing of low‐altitude images acquired by unpiloted aerial vehicles | |
| US8194922B2 (en) | System and methods for dynamically generating earth position data for overhead images and derived information | |
| Jiang et al. | Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion | |
| CN102959946A (en) | Augmenting image data based on related 3d point cloud data | |
| CN101839722A (en) | Method for automatically recognizing target at medium and low altitudes and positioning carrier with high accuracy | |
| US11120259B2 (en) | Method and system for land encroachment detection and surveillance | |
| CN107742276A (en) | One kind is based on the quick processing system of the airborne integration of unmanned aerial vehicle remote sensing image and method | |
| CN112767456A (en) | Three-dimensional laser point cloud rapid relocation method | |
| JP2023530449A (en) | Systems and methods for air and ground alignment | |
| CN109284409B (en) | Picture group geographical positioning method based on large-scale street view data | |
| JP7219143B2 (en) | Filming planning device and method | |
| Wang et al. | Recognition and locating of damaged Poles in distribution network through images shot by unmanned aerial vehicle (UA V) | |
| US20230089827A1 (en) | Method for selecting stereo pairs of aerial or satellite images to generate elevation data | |
| Božić-Štulić et al. | Complete model for automatic object detection and localisation on aerial images using convolutional neural networks | |
| CN110927765A (en) | Laser radar and satellite navigation fused target online positioning method | |
| Yoshiki et al. | Cross-season vehicle localization using bag of local 3d features | |
| Gotovac et al. | A model for automatic geomapping of aerial images mosaic acquired by UAV | |
| CN113610952A (en) | Three-dimensional scene reconstruction method and device, electronic equipment and storage medium | |
| Zhu et al. | Tennis Ball Collection Robot Based on MobileNet-SSD | |
| CN109029365B (en) | Method, system, medium and device for extracting different-side image connection points of electric power corridor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |