Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A large-scale detection method for forest fires 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 fire extinguishing adverse effects, and achieve the effect of improving forest fire point detection accuracy and spatial sensitivity

Active Publication Date: 2022-07-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF8 Cites 0 Cited by
  • Summary
  • 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

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 large-scale detection method for forest fires based on spatial context features
  • A large-scale detection method for forest fires based on spatial context features
  • A large-scale detection method for forest fires based on spatial context features

Examples

Experimental program
Comparison scheme
Effect test

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 Japanese Himawari-8 geosynchronous orbit satellite data, 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] The whole test process of the present invention is realized based on PYTHON 3.7, and the process code is original of the present invention.

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

[0069] Implementation process such as figure 1 shown in detail below.

[0070] step 1:

[00...

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 large-scale detection method for forest fire points based on spatial context features, which belongs to the technical field of remote sensing. The invention detects the fire point by analyzing the mid-infrared and thermal infrared wavebands of the pixels around the fire point. On this basis, the method combines the spectral characteristics of water and cloud, and uses the corresponding waveband to detect them, thereby eliminating the influence of water and cloud on fire detection. A series of false alarm removal work is carried out on the detected fire points. At the same time, according to the characteristics of the satellite data used in the method, the method structure is adjusted and the discriminant is adjusted. Therefore, the sensitivity of the method in space is improved, and the detection accuracy of forest fire is improved.

Description

technical field [0001] The invention belongs to the field of remote sensing technology, and relates to a forest fire point detection method based on a 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 climate 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 fire area was about 20 hectares, and 31 people died. Since July 8, 2019, the Australian forest fires have raged. The fire area is as high as 12 million hectares. About 1 billion wild animals lost their lives in the fire. In...

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): G01J5/48
CPCG01J5/0018G01J5/0066
Inventor 何彬彬张詠钦全兴文
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com