A method and system for automatically identifying straw burning fire points

Abstract

The present invention provides a method and system for automatically identifying the fire point of straw burning, the method comprising: according to the first latitude and longitude coordinates of the potential burning fire point, the distance from the latitude and longitude coordinates of the potential burning fire point is the preset distance. Two longitude and latitude coordinates; obtain the tile coordinates corresponding to the second longitude and latitude coordinates according to the second longitude and latitude coordinates; obtain the image map corresponding to the tile coordinates according to the tile coordinates; use the machine learning image recognition algorithm to analyze the land type in the image map Classification; Obtain the target image map whose land type is agricultural land type, and obtain the burning fire point according to the target image map. The above method obtains high-resolution remote sensing image maps within the range of potential burning fire points according to the tile coordinates in the preset url, and automatically removes misjudged fire points among potential fire points according to the high-resolution remote sensing images, which has a high efficiency and accuracy.

Description

technical field [0001] The invention relates to the technical field of identification of fire points of incineration, in particular to a method and system for automatically identifying fire points of straw incineration. Background technique [0002] In order to improve the quality of the atmospheric environment, protect the public's right to know, and strengthen the supervision of public opinion, the environmental protection departments in various regions will use remote sensing monitoring and other methods to monitor the burning of straw during the national autumn harvest. [0003] The current straw burning monitoring method is based on MODIS or other satellite data to obtain the straw burning point, but the spatial resolution of MODIS is small, and the land type of the area cannot be accurately identified based on MODIS or other satellite data, so water bodies cannot be well excluded, etc. In farmland areas, the effect and accuracy of using it to remove misjudged fire poin...

AI Technical Summary

Problems solved by technology

[0003] The current straw burning monitoring method is based on MODIS or other satellite data to obtain straw burning points, but the spatial resolution of MODIS is small, and the land type of the area cannot be accurately identified based on MODIS or other satellite data, so water bodies cannot be well excluded, etc. In farmland areas, the effect and accuracy of removing misjudged fire points are not ideal

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