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Large-range detection method for forest fire point based on spatial context features

A technology of spatial context and detection method, applied in the field of remote sensing, can solve the problems of fire point detection and adverse effects of fire extinguishing

Active Publication Date: 2021-04-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using a fixed threshold in the algorithm will lead to the generation of false fire points, which will have a negative impact on fire point detection and fire suppression

Method used

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  • Large-range detection method for forest fire point based on spatial context features
  • Large-range detection method for forest fire point based on spatial context features
  • Large-range detection method for forest fire point based on spatial context features

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Experimental program
Comparison scheme
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Embodiment Construction

[0064] The present invention will be further described below in conjunction with the accompanying drawings.

[0065] Data acquisition: The remote sensing data used in the present invention is the data of the Japan Himawari-8 geosynchronous orbit satellite, the imaging range covers the entire Asia-Pacific region, and the imaging time is 10 minutes per scene. After submitting the account password, the user can obtain data through the following website: ftp: / / ftp.ptree.jaxa.jp / / jma / netcdf.

[0066] Implementation tools:

[0067] All the test process of the present invention is realized based on PYTHON 3.7, and the flow code is original of the present invention.

[0068] The image used in the attached figure is the Himawari-8 image at 13:20 on April 1, 2020, Beijing time, which was intercepted to the research area. The overview of the research area is as follows figure 2 shown.

[0069] The implementation process is as follows figure 1 shown in detail below.

[0070] step 1:...

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Abstract

The invention discloses a large-range detection method for a forest fire point based on spatial context features, and belongs to the technical field of remote sensing. According to the method, a fire point is detected by analyzing mid-infrared and thermal infrared bands of pixels around the fire point. On the basis, the method combines spectral features of water and cloud and detects the water and the cloud by using corresponding wave bands, so that the influence of the water and the cloud on fire point detection is eliminated. The detected fire point is subjected to a series of false alarm removal work. Meanwhile, in allusion to the features of satellite data used by the method, the structure of the method is adjusted, and parameters of a discriminant are adjusted. Therefore, the spatial sensitivity of the method is improved, and the forest fire point detection precision is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and relates to a forest fire point detection method based on the geosynchronous orbit satellite Himawari-8. Background technique [0002] The global ecological environment is gradually deteriorating under the influence of climate warming, and large-scale natural disasters and extreme weather events occur frequently. Among them, forest fires, as a serious natural disaster, have occurred many times in recent years, posing a huge threat to economic development, global ecological balance, and personal life and property safety. Fighting forest fires is very dangerous. On March 30, 2019, a forest fire broke out in Muli County, Liangshan Prefecture, Sichuan Province. The total burned area of ​​the fire site was about 20 hectares, and 31 people died. Since July 8, 2019, forest fires in Australia have been raging. The burned area has reached 12 million hectares. About 1 billion wild animals have l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/00
CPCG01J5/0018G01J5/0066
Inventor 何彬彬张詠钦全兴文
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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