CN113378848B - Method, system and storage medium for extracting triarrhena harvesting area or waste harvesting area - Google Patents
Method, system and storage medium for extracting triarrhena harvesting area or waste harvesting area Download PDFInfo
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- 241001326934 Triarrhena Species 0.000 title claims abstract description 94
- 238000003306 harvesting Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000002699 waste material Substances 0.000 title claims abstract description 12
- 238000003860 storage Methods 0.000 title claims abstract description 11
- 230000003595 spectral effect Effects 0.000 claims abstract description 44
- 238000001228 spectrum Methods 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 244000025254 Cannabis sativa Species 0.000 claims description 2
- 240000007594 Oryza sativa Species 0.000 claims description 2
- 235000007164 Oryza sativa Nutrition 0.000 claims description 2
- 241000219000 Populus Species 0.000 claims description 2
- 235000009566 rice Nutrition 0.000 claims description 2
- 238000000605 extraction Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 4
- 238000003709 image segmentation Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 241001085205 Prenanthella exigua Species 0.000 description 1
- 229920001131 Pulp (paper) Polymers 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
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Abstract
The invention discloses a method, a system and a storage medium for extracting a triarrhena harvesting area or a waste cutting area, which are characterized in that a satellite image of an area to be monitored is obtained, and a growth area of the triarrhena is extracted from the satellite image; and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold. Compared with the prior art, the technical scheme can rapidly and accurately identify the harvesting area and the discarding area of the triarrhena in the area to be monitored through the image spectrum identification technology, so that the harvesting condition of the triarrhena in the area to be monitored can be effectively monitored.
Description
Technical Field
The invention relates to the field of triarrhena monitoring, in particular to a triarrhena harvesting area or waste cutting area extraction method, a triarrhena harvesting area or waste cutting area extraction system and a storage medium.
Background
Because the geographical position is remote, development has difficulty, often has the problem that the triarrhena is abandoned, and the triarrhena of abandoning can cause certain pollution to quality of water in long-term soaking in water, in order to guarantee the health of quality of water, need monitor the condition of reaping of triarrhena, current monitoring to the condition of reaping of triarrhena generally is through manual investigation, however, manual investigation not only needs to consume a large amount of manpower, and efficiency is also lower.
Therefore, how to solve the problems of great labor consumption and low efficiency of the existing manual monitoring of the triarrhena harvesting condition is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention provides a method, a system and a storage medium for extracting a triarrhena harvesting area or a waste cutting area, which are used for solving the technical problems that a great deal of manpower is required to be consumed and the efficiency is low in the existing manual monitoring triarrhena harvesting condition.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
the triarrhena harvesting area or waste cutting area extracting method comprises the following steps:
acquiring a satellite image of an area to be monitored, and extracting a growth area of triarrhena from the satellite image;
and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is the triarrhena harvesting area or the cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold.
Preferably, the spectral signature data includes a normalized vegetation index NDVI and a luminance bright.
Preferably, the Brightness Brightness is calculated by the following formula:
wherein B is Brightness, i is the number of the image layer of the approximate image object, C i The brightness value of the ith image layer containing spectrum information; n is n l To approximate the number of image layers of an image object,the average value of the brightness of all the image layers containing spectrum information of the image object is calculated.
Preferably, the harvesting threshold is Brightness more than 1820, and NDVI less than 0.18; or, the discard threshold is Brightness less than or equal to 1820, and NDVI < > 0.18.
Preferably, the method for extracting the growth area of triarrhena from the satellite image comprises the following steps:
determining an optimal monitoring time phase of the triarrhena and a corresponding spectral characteristic threshold value of the triarrhena in the area to be monitored according to the difference between the spectral characteristic data of the triarrhena and other vegetation in different periods in the area to be monitored; the different periods correspond to different growth stages of triarrhena and other vegetation;
and extracting spectral characteristic data of each subarea in the area to be monitored in the optimal monitoring time phase from the satellite image, comparing the spectral characteristic data of each subarea with a spectral characteristic threshold, and judging that the subarea is a growth area of triarrhena when the spectral characteristic data of any subarea is in the spectral characteristic threshold.
Preferably, when the area to be monitored is a humid tropical monsoon climate of large Liu Xingya, and other vegetation includes rice, grass, poplar and rape, the spectral feature data includes normalized vegetation index NDVI, normalized water index NDWI and Green Ratio Green, the optimal monitoring time phase of triarrhena and the corresponding spectral feature threshold value thereof in the area to be monitored are as follows:
a computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when the computer program is executed.
A computer storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
The invention has the following beneficial effects:
1. according to the triarrhena harvesting area or waste harvesting area extraction method, system and storage medium, a satellite image of an area to be monitored is obtained, and a triarrhena growing area is extracted from the satellite image; and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold. Compared with the prior art, the technical scheme can rapidly and accurately identify the harvesting area and the discarding area of the triarrhena in the area to be monitored through the image spectrum identification technology, so that the harvesting condition of the triarrhena in the area to be monitored can be effectively monitored.
2. In the preferred scheme, the technical scheme can distinguish the harvesting area and the discarding area of triarrhena by normalizing the two spectral features of the vegetation index NDVI and the Brightness Brightness, and can improve the identification precision.
In addition to the objects, features and advantages described above, the present invention has other objects, features and advantages. The invention will be described in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a view of a triarrhena harvest time satellite image in a preferred embodiment of the present invention;
FIG. 2 is a graph showing spectra of different features of different portions of a region to be monitored during the same time period in a preferred embodiment of the present invention;
FIG. 3 is a technical roadmap for harvesting area extraction in a preferred embodiment of the invention;
FIG. 4 is a diagram showing the image segmentation effect according to the preferred embodiment of the present invention;
FIG. 5 is a satellite image, a Brightness image, and an NDVI image of an area to be monitored in a preferred embodiment of the present invention, wherein (a) is the satellite image of the area to be monitored, (b) is the Brightness image of the area to be monitored, and (c) is the NDVI image of the area to be monitored;
fig. 6 is a spatial distribution diagram of the harvesting and discarding regions of triarrhena in the east hole lake 2015-2018, wherein (a) - (d) are spatial distribution diagrams of the harvesting and discarding regions of triarrhena in the east hole lake 2015-2018, respectively;
FIG. 7 is a statistical plot of harvesting and discarding areas of triarrhena armarium 2015-2018 in the Dongting lake of the preferred embodiment of the present invention;
fig. 8 is a flow chart of the harvesting area or disposal area extraction method of the triarrhena of the present invention.
Detailed Description
Embodiments of the invention are described in detail below with reference to the attached drawings, but the invention can be implemented in a number of different ways, which are defined and covered by the claims.
Embodiment one:
as shown in fig. 8, the invention discloses a method for extracting a triarrhena harvesting area or a waste cutting area, which comprises the following steps:
acquiring a satellite image of an area to be monitored, and extracting a growth area of triarrhena from the satellite image;
and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold.
In addition, in the embodiment, the invention also discloses a computer system, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the steps of any one of the methods.
In addition, in the present embodiment, the present invention also discloses a computer storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of any of the methods described above.
According to the triarrhena harvesting area or waste harvesting area extraction method, system and storage medium, a satellite image of an area to be monitored is obtained, and a triarrhena growing area is extracted from the satellite image; and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold. Compared with the prior art, the technical scheme can rapidly and accurately identify the harvesting area and the discarding area of the triarrhena in the area to be monitored through the image spectrum identification technology, so that the harvesting condition of the triarrhena in the area to be monitored can be effectively monitored.
Embodiment two:
the second embodiment is an extended embodiment of the embodiments, which is different from the first embodiment in that the specific steps and principles of the method for extracting the triarrhena harvesting area or the abandoned zone area are introduced, and the specific steps and principles are as follows:
1. principle of distinction between triarrhena harvesting area and waste harvesting area
After harvesting, the triarrhena is characterized by semi-bare soil on the satellite image, which appears gray brown or bright white, while the abandoned region appears dark brown on the satellite image (fig. 1). As can be seen from fig. 2, the spectral reflectance of the harvesting region is higher than that of the discarding region. Thus, the harvesting area can be distinguished from the discarding area by spectral and color differences.
2. Harvesting area and discarding area extraction method
The study adopts an object-oriented classification method to distinguish triarrhena harvesting areas from abandoned harvesting areas. On the basis of the triarrhena spatial distribution extraction result, selecting a cloud-free satellite image from 12 months of the current year to 2 months of the next year, dividing in Yikang software, selecting Brightness and NDVI as classification parameters, selecting a classification threshold, extracting a harvesting and discarding region, and analyzing the annual spatial distribution change and the harvesting area change. The harvesting area extraction technical route is shown in fig. 3.
(1) Region of interest clipping
And taking the extracted triarrhena spatial distribution range file as an interested region, cutting the triarrhena harvested satellite image, and obtaining the triarrhena harvesting region and the abandoned region image.
(2) Image segmentation
In Yikang software, satellite images in the triarrhena scope are segmented, 300 is selected as a segmentation scale through multiple attempts, the segmentation shape factor is set to be 0.1, the compactness is set to be 0.5, and an image segmentation effect diagram is shown in fig. 4.
(3) Sorting parameter threshold selection
The luminance value is a value obtained by adding the average value of all the image layers containing spectrum information and dividing the average value by the number of image layers used for approximating the image object. The calculation formula is as follows:
the satellite image, bright data and NDVI data of the harvesting and discarding region are shown in FIG. 5, and as can be seen from FIG. 5 (a), the triarrhena harvesting region appears dark brown on the satellite image, and the discarding region appears dark brown; as can be seen from fig. 5 (b), the harvest zone has a greater brightness value than the reject zone; as can be seen from fig. 5 (c), the harvest zone NDVI value is smaller than the reject zone. Therefore, the threshold values are respectively selected according to the difference of the brightness value and the NDVI of the harvesting and discarding areas, so that the triarrhena can be distinguished from the harvesting and discarding areas.
TABLE 1 difference between harvesting and discarding regions Br weight and NDVI
Parameters (parameters) | Brightness | NDVI |
Description of the differences | Harvesting > discarding | Harvesting & discarding |
Brightness, NDVI was chosen as the classification parameter for this study. Taking 2015 12 month data as an example, the threshold values of each classification parameter are shown in table 2:
TABLE 2 harvesting and discarding regions differentiate the respective classification parameter thresholds
3. Spatial distribution extraction result of harvesting area and discarding area
The spatial distribution of the triarrhena cutting and discarding regions in the east Dongting lake 2015-2018 is extracted through the triarrhena cutting and discarding region area extraction method, wherein the spatial distribution of the triarrhena cutting and discarding regions in 2015-2019 is shown in fig. 6, the triarrhena cutting area and discarding area corresponding to each year are calculated in fig. 6, and a statistical chart of the triarrhena cutting and discarding area in 2015-2018 east Dongting Hunan is constructed as shown in fig. 7.
As can be seen from fig. 7, the harvesting area of the triarrhena in 2015 is the largest, and is 69.2% of the total area of the triarrhena in the current year, the harvesting areas in 2016 and 2017 are reduced, and the harvesting area of the triarrhena in 2018 is greatly reduced, and the harvesting area is 5.6% of the total area of the triarrhena in the current year. The harvesting area of triarrhena is greatly reduced in 2018, and the triarrhena mainly exits from the three-year action plan (2018-2020) for improving the ecological environment of the cave lake and the guiding and exiting scheme of paper-making enterprises in the cave lake area, and all paper-pulp enterprises relying on triarrhena in the cave lake area mainly exit from the productivity, and triarrhena is unmanned to harvest.
In summary, the method, the system and the storage medium for extracting the triarrhena harvesting area or the triarrhena abandoned area are characterized in that the satellite image of the area to be monitored is obtained, and the growth area of the triarrhena is extracted from the satellite image; and acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that the part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold. Compared with the prior art, the technical scheme can rapidly and accurately identify the harvesting area and the discarding area of the triarrhena in the area to be monitored through the image spectrum identification technology, so that the harvesting condition of the triarrhena in the area to be monitored can be effectively monitored.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The method for extracting the triarrhena cutting area or the abandoned cutting area is characterized by comprising the following steps of:
acquiring a satellite image of an area to be monitored, and extracting the growing area of triarrhena from the satellite image;
acquiring spectral characteristic data of each part of the triarrhena growing area, comparing the spectral characteristic data of each part with a preset harvesting threshold or a cutting-out threshold respectively, and judging that any part is a triarrhena harvesting area or a cutting-out area when the spectral characteristic data of any part is within the preset harvesting threshold or the cutting-out threshold;
the spectral feature data comprises normalized vegetation index NDVI and Brightness Brightness;
the Brightness Brightness is calculated by the following formula:
wherein B is Brightness, i is the number of the image layer of the approximate image object, C i The brightness value of the ith image layer containing spectrum information; n is n l To approximate the number of image layers of an image object,to approximate image objectsAn average value of brightness of all the image layers containing spectrum information;
the harvesting threshold is Brightness more than 1820, and NDVI is less than 0.18; or, the discard threshold is Brightness less than or equal to 1820, and NDVI < > 0.18.
2. The method for extracting a triarrhena harvesting area or a waste cutting area according to claim 1, wherein the method for extracting the triarrhena growing area from the satellite image comprises the following steps:
determining an optimal monitoring time phase of the triarrhena and a corresponding spectral characteristic threshold value of the triarrhena in the area to be monitored according to the difference between the spectral characteristic data of the triarrhena and other vegetation in different periods in the area to be monitored; the different periods correspond to different growth stages of triarrhena and other vegetation;
and extracting spectral feature data of each subarea in the to-be-monitored area in the optimal monitoring time phase from the satellite image, respectively comparing the spectral feature data of each subarea with the spectral feature threshold, and judging that the subarea is a growth area of triarrhena when the spectral feature data of any subarea exists in the spectral feature threshold.
3. The method according to claim 2, wherein when the area to be monitored is a large Liu Xingya tropical monsoon humid climate and the other vegetation includes rice, grass, poplar, rape, the spectral feature data includes normalized vegetation index NDVI, normalized water index NDWI, green Ratio Green, the optimal monitoring phase of the triarrhena in the area to be monitored and its corresponding spectral feature threshold are as follows:
4. a computer system comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the steps of any of the methods of the preceding claims 1 to 3 when executing the computer program.
5. A computer storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method of any of the preceding claims 1 to 3.
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