MULTI-TEMPORAL HIS TRANSFORM FOR CHANGE INFORMATION DETECTION

doi:10.6046/gtzyyg.2000.03.09

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Abstract In order to applying IHStransform to change detection, first use linear aggression to perform Icomponent and high spatial resolution PANradiometric rectification to minimize noise and variation caused by the difference of sensor type and imaging time. Then use coefficent overlay method to create a new Icomponent for inverse transform. This method improves the fusion result and enhance the change information for classification.

Keywords Landslide Artificial neural network Quantification Distribution

Issue Date: 02 August 2011

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	ZHANG Chong
	CHEN Xiao-Hua
	ZOU Le-Jun
	WU Wen-Yuan
	SU Nan
	KONG Fan-Li
	WANG Jian-Li
	RUAN Bai-Yao
	HUANG Jun-Ge
	HOU Dong-Mei
	YANG Ting-Wei

Cite this article:

ZHANG Chong,CHEN Xiao-Hua,ZOU Le-Jun, et al. MULTI-TEMPORAL HIS TRANSFORM FOR CHANGE INFORMATION DETECTION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(3): 53-56.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2000.03.09 OR https://www.gtzyyg.com/EN/Y2000/V12/I3/53

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