NEURAL NETWORK FOR CLASSIFICATION OF REMOTE SENSING IMAGE

doi:10.6046/gtzyyg.1996.03.09

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Abstract A method of semilinear feedforward net applied to the classification of remote sensing image was discussed in this paper, Satisfactory results were obtained in extracting the planted rice area in Huazhuang and Yangjian towns of Wuxi county from TM data of July 23, 1991 by this method.

Keywords Thermal infrared Remote sensing ASTER Land surface temperature Emissivity

Issue Date: 02 August 2011

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	WANG Feng-Min
	TIAN Qing-Jiu
	GUO Jian-Hong
	ZHONG Yong
	SUN Dong
	CHEN Lei

Cite this article:

WANG Feng-Min,TIAN Qing-Jiu,GUO Jian-Hong, et al. NEURAL NETWORK FOR CLASSIFICATION OF REMOTE SENSING IMAGE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1996, 8(3): 49-55.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1996.03.09 OR https://www.gtzyyg.com/EN/Y1996/V8/I3/49

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