AN EFFICIENT WAY TO IMPROVE THE CALSSIFICATION BY USING KEMOTE SENSING DATA

doi:10.6046/gtzyyg.1995.04.01

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Abstract

Abstract The common methods and developing trends about the classification of remote sensing data is discussed in this paper. The merging of remote sensing with comprehansively varous information is considered an efficient may to improve the classification precision of remote sensing data under the current conditions.

Keywords High resolution remote sensing image 3D urban landscape Cybercity

Issue Date: 02 August 2011

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	LIAO Sheng-Dong
	LIAO Qi-Fang
	ZENG Wen-Hua
	WANG Juan
	LEI Lei
	XIE Feng-Meng

Cite this article:

LIAO Sheng-Dong,LIAO Qi-Fang,ZENG Wen-Hua, et al. AN EFFICIENT WAY TO IMPROVE THE CALSSIFICATION BY USING KEMOTE SENSING DATA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(4): 1-4，13.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1995.04.01 OR https://www.gtzyyg.com/EN/Y1995/V7/I4/1

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