doi:10.6046/gtzyyg.2010.01.14

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Abstract

This paper describes the principle of fire detection by using NOAA-AVHRR data, and gives a brief summary of four fire detection methods. Four fire detection algorithms were utilized to detect and analyze several forest fire spots that occurred in eastern Jilin Province. This paper discusses the fixed threshold method and makes some improvement. Compared with the results of fire detection by other methods, the accuracy of the improved method is obviously higher and can reach 89.2%. The capability of the improved method for fire detection and its shortcomings are also discussed.

Keywords Image analysis Segmentation Feature Remote sensing classification

Issue Date: 22 March 2010

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	CHEN Qiu-xiao
	LUO Jian-cheng
	ZHOU Cheng-hu

Cite this article:

CHEN Qiu-xiao,LUO Jian-cheng,ZHOU Cheng-hu. [J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(1): 77-80.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.14 OR https://www.gtzyyg.com/EN/Y2010/V22/I1/77

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