MULTIPLE FEATURES BASED ANALYSIS OF REMOTELY SENSED IMAGERY: A NEW PERSPECTIVE

doi:10.6046/gtzyyg.2003.01.02

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Abstract

From a new perspective, the authors put forward a multiple features based analytical approach for remotely sensed imagery to overcome the limitation of the pixel-based analytical approach. With the remote sensing classification as an example, this new approach is described in detail. The potential advantages and prospects of this approach are also discussed in this paper.

Keywords Principal component analysis Fractal model ASTER Alteration anomaly extraction

Issue Date: 02 August 2011

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	DIAO Hai
	ZHANG Da
	DI Yong-Jun
	WANG Zhen
	WANG Hao-Ran
	XIONG Guang-Qiang

Cite this article:

DIAO Hai,ZHANG Da,DI Yong-Jun, et al. MULTIPLE FEATURES BASED ANALYSIS OF REMOTELY SENSED IMAGERY: A NEW PERSPECTIVE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(1): 5-7，28.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2003.01.02 OR https://www.gtzyyg.com/EN/Y2003/V15/I1/5

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