ARTIFICIAL NEURAL NETWORK MODEL FOR RECOGNITION ABOUT LAND COVER TYPE OF REMOTE SENSING

doi:10.6046/gtzyyg.1994.04.10

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Abstract

The self-organization artificial neural network model for the recognition about land cover type of remote sensing was presented in this paper.A group of samples was selected and studied for the model testing. The recognizing rate is high. The results show that the neural network model is good, and therefore it might be referred as an effective technique for the recognition about land cover type of remote sensing.

Keywords Quickbird Land reorganization Remote sensing

Issue Date: 02 August 2011

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	YANG Qing-Hua
	LI Jing-Hua
	HAN Xu
	AN Zhi-Hong
	CHEN Hua
	REN Chun
	SUN Chang-Qing
	TANG Yu-Ping
	LI Ji-Peng

Cite this article:

YANG Qing-Hua,LI Jing-Hua,HAN Xu, et al. ARTIFICIAL NEURAL NETWORK MODEL FOR RECOGNITION ABOUT LAND COVER TYPE OF REMOTE SENSING[J]. REMOTE SENSING FOR LAND & RESOURCES, 1994, 6(4): 63-66.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1994.04.10 OR https://www.gtzyyg.com/EN/Y1994/V6/I4/63

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