GENETIC ALGORITHMS AND ITS APPLICATION TO THE RETRIEVAL OF COMPONENT TEMPERATURE

doi:10.6046/gtzyyg.2000.01.06

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Abstract

This paper introduces the main contents and working principle of genetic algorithms. Based on the model of thermal radiant directionality of continuous vegetation, genetic algorithm was employed to synchronously retrieve component temperature, LAIand soil emissivity from thermal infrared multi-angle data. Many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm. Genetic algorithm can cope with uncertainty inversion problem pretty well if we take full advantage of prior knowledge. The paper offers a new method to retrieve component temperature form multi-angle thermal infrared data based on the model of directionality of thermal radiance.

Keywords Heavy metal pollution Pollution indicators Spectral feature parameters Multiple linear regression

Issue Date: 02 August 2011

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	ZHAO Ting
	WANG An-Jian
	XIA Jiang-Zhou
	LIU Su-Hong
	WU Yi
	FENG Shao-wu
	WANG Ya-qing

Cite this article:

ZHAO Ting,WANG An-Jian,XIA Jiang-Zhou, et al. GENETIC ALGORITHMS AND ITS APPLICATION TO THE RETRIEVAL OF COMPONENT TEMPERATURE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(1): 28-33.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2000.01.06 OR https://www.gtzyyg.com/EN/Y2000/V12/I1/28

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