Unlock instant, AI-driven research and patent intelligence for your innovation.

A fast identification method for extraction of farmland burning traces by 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: 2022-08-02
HOHAI UNIV +1
View PDF0 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 fire and the spectral difference between the burning area and the surrounding ground objects. The drastic changes in vegetation will make it difficult for existing methods to effectively extract traces of farmland burning according to local conditions and data conditions

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A fast identification method for extraction of farmland burning traces by multispectral remote sensing
  • A fast identification method for extraction of farmland burning traces by multispectral remote sensing
  • A fast identification method for extraction of farmland burning traces by multispectral remote sensing

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 solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0041] like figure 1 As shown, a rapid identification method for extracting burning traces of farmland by multispectral remote sensing includes:

[0042] Obtain pre-harvest and post-harvest multispectral remote sensing images of the area where the farmland is located;

[0043] Using pre-harvest and post-harvest multispectral remote sensing images to simplify the background, remove the interference of complex backgrounds, and determine the simplified background.

[0044] Based on the random forest algorithm, the multi-spectral remote sensing images after harvesting are used to obtain the variable importance measure for identifying the burning traces of farmland, 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

No PUM Login to View More

Abstract

The invention discloses a fast identification method for extracting burning traces of farmland by multi-spectral remote sensing, and obtains multi-spectral remote sensing images before and after harvesting of the area where the farmland is located; performs background simplification processing to determine the simplified background; Based on the random forest algorithm, the spectral remote sensing image obtains the variable importance measure for identifying the burning traces of farmland, and determines the important bands of the multispectral remote sensing image for identifying the burning traces of the farmland; J-M distance is used to optimally select the important bands; The combination of bands and the simplified background, the spectral index is obtained by spectral analysis; the spectral index image is obtained through the spectral index, and the optimal segmentation threshold is determined according to the spectral index image; the burning traces of farmland are extracted. Advantages: Combining the RF algorithm and the J‑M distance to obtain the optimal band combination not only reduces the computational workload generated by the useless bands, but also avoids the problem of poor separation between the target objects and some background objects.

Description

technical field [0001] The invention relates to a fast identification method for extracting burning traces of farmland 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 then 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., under conditions that are not conducive to atmospheric diffusion, will cause significant deterioration of the urban atmospheric environment. Moreover, the hydrogen sulfide and nitrogen compounds produced by burning straw are excessively discharged into the air, and combined with the moisture in the air, it is easy to form acid rain, which not only pollutes the water resources, but also causes soil acidification, which will seriously damage the local ecological environment. Toxic and h...

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
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/13G06V10/26G06V10/764G06K9/62
CPCG06V20/13G06V10/267G06F18/24323
Inventor 吴太夏魏高磊王树东
Owner HOHAI UNIV