Automatic extraction of information on hill fires based on FY-3A/VIRR data

Author

Jian Wang ; Yongqin Luo ; Minrui Qiao

Author_Institution

Dept. of Inf. Technol., Shanxi Electr. Power Corp., Taiyuan, China

fYear

2013

fDate

25-27 Sept. 2013

Firstpage

660

Lastpage

665

Abstract

In this paper, we first give the characters of FY-3A/VIRR data and its application in monitoring the fire. An improved method using visible channels thermal infrared (TIR) channels and solar reflectance channels to realize radiometric calibration, atmosphere correction, geometric correction, potential fire point identification and based on the background window fire detection. The fire detection of fires in Shanxi Province in 2013 reveals the improved fire point algorithm has higher sensitivity to small point. Improvement of accuracy provides powerful support for the fire early warning and elimination.

Keywords

fires; geometry; geophysical image processing; image retrieval; FY -3A/VIRR data; Shanxi province; atmosphere correction; automatic extraction; background window fire detection; fire point identification; geometric correction; hill fires; radiometric calibration; solar reflectance channels; visible thermal infrared channels; Chemicals; Mechatronics; Monitoring; Radiometry; Snow; Vegetation mapping; FY-3A/VIRR; automatic extraction; background; fire detection; pretreatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on

Conference_Location

Luoyang

Print_ISBN

978-1-4799-2518-6

Type

conf

DOI

10.1109/ICAMechS.2013.6681724

Filename

6681724