Rapid identification method for extracting farmland combustion traces through multispectral remote sensing
A technology of burning traces and identification methods, applied in the field of target identification, can solve the problems of large manpower, material and financial resources, small area of farmland burning patches, complex and changeable surrounding background, etc. The effect of computing workload
Active Publication Date: 2021-05-04
HOHAI UNIV +1
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the traditional monitoring of straw burning can only be done manually, which requires a lot of manpower, material and financial resources.
[0004] The identification of the pre-burning area mainly depends on the changes in the types of ground objects after the fi
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0040] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0041] like figure 1 As shown, a rapid identification method for extraction of farmland burning traces by multi-spectral remote sensing, including:
[0042] Obtain pre-harvest and post-harvest multispectral remote sensing images of the farmland area;
[0043] The multi-spectral remote sensing images before and after harvesting are used for background simplification processing, the interference of complex background is removed, and the background after simplification is determined.
[0044] Based on the random forest algorithm for the multispectral remote sensing image after harvest, the variable importance measure for identifying the traces of farmland burning is obtained, and the important ba...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a rapid identification method for extracting farmland combustion traces through multispectral remote sensing. The method comprises the following steps: acquiring multispectral remote sensing images of an area where a farmland is located before and after harvesting; carrying out background simplification processing, and determining a simplified background; obtaining variable importance measurement for identifying the farmland combustion trace from the harvested multispectral remote sensing image based on a random forest algorithm, and determining an important wave band of the multispectral remote sensing image for identifying the farmland combustion trace; performing optimal selection processing on the important wave band by using a J-M distance; according to the optimal wave band combination and the simplified background, obtaining spectral indexes through spectral analysis; obtaining a spectral index image through the spectral index, and determining an optimal segmentation threshold according to the spectral index image; and extracting farmland combustion traces. The method has the advantages that the optimal wave band combination is obtained by combining the RF algorithm and the J-M distance, the calculation workload generated by useless wave bands is reduced, and the problem that the separation between a target ground object and some background ground objects is poor is solved.
Description
technical field [0001] The invention relates to a rapid identification method for extracting farmland burning traces by multispectral remote sensing, and belongs to the technical field of target identification. Background technique [0002] Straw burning will cause serious pollution to the local environment and endanger human health. Straw burning will emit a large amount of trace gases and particulate matter, such as CO, nitrogen oxides (NO X ), organic particulate matter (PM), etc., will cause significant deterioration of the urban atmospheric environment under conditions that are not conducive to atmospheric diffusion. Moreover, hydrogen sulfide and nitrogen compounds produced by straw burning are excessively discharged into the air, and combined with moisture in the air, it is easy to form acid rain, which not only pollutes water resources, but also causes soil acidification, which will seriously damage the local ecological environment. Toxic and harmful substances pro...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/13G06V10/267G06F18/24323
Inventor 吴太夏魏高磊王树东
Owner HOHAI UNIV