CN110827266A - Crop damage assessment method based on multi-stage image comparison - Google Patents
Crop damage assessment method based on multi-stage image comparison Download PDFInfo
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- CN110827266A CN110827266A CN201911080555.0A CN201911080555A CN110827266A CN 110827266 A CN110827266 A CN 110827266A CN 201911080555 A CN201911080555 A CN 201911080555A CN 110827266 A CN110827266 A CN 110827266A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000003384 imaging method Methods 0.000 claims abstract description 36
- 238000000701 chemical imaging Methods 0.000 claims abstract description 12
- 238000001228 spectrum Methods 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10036—Multispectral image; Hyperspectral image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
Abstract
The invention provides a crop damage assessment method based on multi-phase image comparison, which relates to the field of crop disaster damage assessment and comprises a satellite imaging system, a signal base station, a multispectral acquisition device and an image comparison terminal, wherein the satellite imaging system is used for regularly shooting multispectral imaging pictures and high-definition imaging pictures, relevant information is transmitted to the image comparison terminal through the signal base station, the image comparison terminal receives the relevant information and makes a comparison map, and the comparison map is used as an original comparison file for judging crop damage; the method comprises the steps that a worker selects a sample area according to a damage reporting area, a multispectral collecting device collects a high-definition image and a multispectral image of the sample area, an agricultural expert evaluates the rating of the sample area according to an evaluation method and inputs the rating into an image comparison terminal, and other areas obtain the disaster rating of other areas according to the image comparison and the rating of the sample area, so that the disaster situation of other areas can be quickly obtained.
Description
Technical Field
The invention relates to the field of crop disaster damage assessment, in particular to a crop damage assessment method based on multi-phase image comparison.
Background
Agricultural insurance means one of providing economic guarantee to the economic loss that natural disasters or accident that probably suffers in the growing process of planting industry caused.
The agricultural insurance damage assessment of crops mainly uses manual assessment, and the manual assessment method is a method that investigators visually inspect the damaged crops in a damaged area and then measure the damaged area and the damaged position of the crops by using tools such as a tape measure and a GPS. However, the existing manual method has the problems of high labor cost, low efficiency, difficulty in obtaining the positions of the lodging crop plots and incapability of accurately obtaining the areas of lodging disasters.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects in the prior art and provides a crop damage assessment method based on multi-stage image comparison.
The invention is realized by the following technical scheme: a crop damage assessment method based on multi-phase image contrast comprises a satellite imaging system, a signal base station, a multispectral acquisition device and an image contrast terminal, wherein,
the satellite imaging system is a remote sensing acquisition module installed in a satellite, and the satellite remote sensing acquisition module is a public service module;
the signal base station is used for receiving the multispectral imaging picture and the high-definition imaging picture which are periodically sent by the satellite imaging system and sending the multispectral imaging picture and the high-definition imaging picture to a comparison image library of the image comparison terminal;
the multispectral acquisition device is used for acquiring a plurality of groups of images of a disaster site with randomly determined coordinates and acquiring multispectral images, and the multispectral acquisition device transmits acquired high-definition images and multispectral images to the image comparison terminal;
the image comparison terminal receives the high-definition images and the multispectral images with set coordinates acquired by the multispectral acquisition device, compares the high-definition images and the multispectral images with the comparison map, and determines the area and the disaster degree of a disaster site.
According to the above technical solution, preferably, the multispectral acquisition device employs an unmanned aerial vehicle equipped with multispectral imaging and high-definition shooting.
A crop damage assessment method based on multi-stage image comparison comprises the following steps:
(1) the satellite imaging system regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the outside; the signal base station is used for receiving the related data sent by the satellite imaging system and sending the related data to a contrast image library of the image contrast terminal;
(2) the image comparison terminal draws the multispectral image and the high-definition imaging image which are transmitted to the comparison image library into a comparison map by using a related splicing algorithm;
(3) the method comprises the steps that a surveyor carries a multispectral collecting device to arrive at a disaster area, high-definition images and multispectral images are collected on a plurality of groups of set coordinate areas by the multispectral collecting device, collected data are transmitted to an image comparison terminal, agricultural experts grade disaster conditions of the collected areas, then the image comparison terminal inputs the rated data, and other disaster conditions are evaluated through comparison.
The invention has the beneficial effects that: the satellite imaging system is used for regularly shooting multispectral imaging pictures and high-definition imaging pictures, transmitting relevant information to the image comparison terminal through the signal base station, receiving the relevant information by the image comparison terminal, and making a comparison map, wherein the comparison map is used as an original comparison file for judging crop damage; the method comprises the steps that a worker selects a sample area according to a damage reporting area, a multispectral collecting device collects a high-definition image and a multispectral image of the sample area, an agricultural expert evaluates the rating of the sample area according to an evaluation method and inputs the rating into an image comparison terminal, and other areas obtain the disaster rating of other areas according to the image comparison and the rating of the sample area, so that the disaster situation of other areas can be quickly obtained.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following provides a detailed description of the present invention with reference to the embodiments.
The invention provides a crop damage assessment method based on multi-phase image contrast, which comprises a satellite imaging system, a signal base station, a multi-spectrum acquisition device and an image contrast terminal, wherein,
the satellite imaging system is a remote sensing acquisition module arranged in a satellite, and the satellite remote sensing acquisition module is a public service module;
the signal base station is used for receiving the multispectral imaging picture and the high-definition imaging picture which are periodically sent by the satellite imaging system and sending the multispectral imaging picture and the high-definition imaging picture to a comparison image library of the image comparison terminal;
the multispectral acquisition device is used for acquiring a plurality of groups of images of disaster sites with randomly determined coordinates and acquiring multispectral images, and the multispectral acquisition device transmits the acquired high-definition images and multispectral images to the image comparison terminal;
and the image comparison terminal receives the high-definition images and the multispectral images with set coordinates acquired by the multispectral acquisition device, compares the high-definition images and the multispectral images with the comparison map, and determines the area and the disaster degree of a disaster site.
The satellite imaging system is used for regularly shooting multispectral imaging pictures and high-definition imaging pictures, transmitting relevant information to the image comparison terminal through the signal base station, receiving the relevant information by the image comparison terminal, and making a comparison map, wherein the comparison map is used as an original comparison file for judging crop damage; the method comprises the steps that a worker selects a sample area according to a damage reporting area, a multispectral collecting device collects a high-definition image and a multispectral image of the sample area, an agricultural expert evaluates the rating of the sample area according to an evaluation method and inputs the rating into an image comparison terminal, and other areas obtain the disaster rating of other areas according to the image comparison and the rating of the sample area, so that the disaster situation of other areas can be quickly obtained.
Further, multispectral collection system adopts the unmanned aerial vehicle who installs multispectral formation of image and high definition and shoot.
A crop damage assessment method based on multi-stage image comparison comprises the following steps:
(1) the satellite imaging system regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the outside; the signal base station is used for receiving the related data sent by the satellite imaging system and sending the related data to a contrast image library of the image contrast terminal;
(2) the image comparison terminal draws the multispectral image and the high-definition imaging image which are transmitted to the comparison image library into a comparison map by using a related splicing algorithm;
(3) the method comprises the steps that a surveyor carries a multispectral collecting device to arrive at a disaster area, high-definition images and multispectral images are collected on a plurality of groups of set coordinate areas by the multispectral collecting device, collected data are transmitted to an image comparison terminal, agricultural experts grade disaster conditions of the collected areas, then the image comparison terminal inputs the rated data, and other disaster conditions are evaluated through comparison.
The invention has the beneficial effects that: the satellite imaging system is used for regularly shooting multispectral imaging pictures and high-definition imaging pictures, transmitting relevant information to the image comparison terminal through the signal base station, receiving the relevant information by the image comparison terminal, and making a comparison map, wherein the comparison map is used as an original comparison file for judging crop damage; the method comprises the steps that a worker selects a sample area according to a damage reporting area, a multispectral collecting device collects a high-definition image and a multispectral image of the sample area, an agricultural expert evaluates the rating of the sample area according to an evaluation method and inputs the rating into an image comparison terminal, and other areas obtain the disaster rating of other areas according to the image comparison and the rating of the sample area, so that the disaster situation of other areas can be quickly obtained.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (3)
1. A crop damage assessment method based on multi-phase image contrast is characterized by comprising a satellite imaging system, a signal base station, a multi-spectrum acquisition device and an image contrast terminal, wherein,
the satellite imaging system is a remote sensing acquisition module installed in a satellite, and the satellite remote sensing acquisition module is a public service module;
the signal base station is used for receiving the multispectral imaging picture and the high-definition imaging picture which are periodically sent by the satellite imaging system and sending the multispectral imaging picture and the high-definition imaging picture to a comparison image library of the image comparison terminal;
the multispectral acquisition device is used for acquiring a plurality of groups of images of a disaster site with randomly determined coordinates and acquiring multispectral images, and the multispectral acquisition device transmits acquired high-definition images and multispectral images to the image comparison terminal;
the image comparison terminal receives the high-definition images and the multispectral images with set coordinates acquired by the multispectral acquisition device, compares the high-definition images and the multispectral images with the comparison map, and determines the area and the disaster degree of a disaster site.
2. The crop damage assessment method based on multi-phase image contrast as claimed in claim 1, wherein said multi-spectral collection device employs an unmanned aerial vehicle equipped with multi-spectral imaging and high definition shooting.
3. The crop damage assessment method based on multi-phase image contrast as claimed in claim 1, comprising the steps of:
(1) the satellite imaging system regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the outside; the signal base station is used for receiving the related data sent by the satellite imaging system and sending the related data to a contrast image library of the image contrast terminal;
(2) the image comparison terminal draws the multispectral image and the high-definition imaging image which are transmitted to the comparison image library into a comparison map by using a related splicing algorithm;
(3) the method comprises the steps that a surveyor carries a multispectral collecting device to arrive at a disaster area, high-definition images and multispectral images are collected on a plurality of groups of set coordinate areas by the multispectral collecting device, collected data are transmitted to an image comparison terminal, agricultural experts grade disaster conditions of the collected areas, then the image comparison terminal inputs the rated data, and other disaster conditions are evaluated through comparison.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911080555.0A CN110827266A (en) | 2019-11-07 | 2019-11-07 | Crop damage assessment method based on multi-stage image comparison |
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| CN201911080555.0A CN110827266A (en) | 2019-11-07 | 2019-11-07 | Crop damage assessment method based on multi-stage image comparison |
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Cited By (1)
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| CN110827158A (en) * | 2019-11-07 | 2020-02-21 | 航天信德智图（北京）科技有限公司 | Loss evaluation method based on NDVI time series change |
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| CN108053325A (en) * | 2017-11-30 | 2018-05-18 | 河南云保遥感科技有限公司 | A kind of agricultural insurance damage identification method based on crops remote sensing technology |
| CN109242708A (en) * | 2018-09-18 | 2019-01-18 | 安徽阡陌网络科技有限公司 | A kind of agricultural disaster based on remotely-sensed data and digital field is precisely settled a claim method |
| CN109813286A (en) * | 2019-01-28 | 2019-05-28 | 中科光启空间信息技术有限公司 | A kind of lodging disaster remote sensing damage identification method based on unmanned plane |
| CN109828291A (en) * | 2019-03-27 | 2019-05-31 | 中国科学院电子学研究所 | A kind of method and device having man-machine emergency remote sensing monitoring |
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2019
- 2019-11-07 CN CN201911080555.0A patent/CN110827266A/en active Pending
Patent Citations (5)
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| CN107169018A (en) * | 2017-04-06 | 2017-09-15 | 河南云保遥感科技有限公司 | A kind of agricultural insurance is surveyed, loss assessment system and its implementation |
| CN108053325A (en) * | 2017-11-30 | 2018-05-18 | 河南云保遥感科技有限公司 | A kind of agricultural insurance damage identification method based on crops remote sensing technology |
| CN109242708A (en) * | 2018-09-18 | 2019-01-18 | 安徽阡陌网络科技有限公司 | A kind of agricultural disaster based on remotely-sensed data and digital field is precisely settled a claim method |
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