REMOTE SENSING IMAGE CLASSIFICATION BASED ON LOGISTIC MODEL

doi:10.6046/gtzyyg.2001.01.07

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Abstract

Logistic method is a nonlinear regression analysis method, which is based on the Logistic model. Usually, It is used to forecast and classify the unknown units into the known types. Other than the common classification methods, it can respectively calculate the probabilities which one unit belongs to the different known types, then, classify and forecast all the units of the unknown research field. In this paper, firstly we introduce the keystone of Logistic method, then, classify the two different remote sensing image data of the two different fields in The Inner Mongolia Autonomous Region by this method, finally discuss about a few factors which affect remote sensing image classification using logistic method.

Keywords Regional geological environment Remote sensing monitoring Technical system Sub-system

Issue Date: 02 August 2011

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	ZHAO Fu-Yue
	YU Jing-cun
	HU Bing
	LIU Zhen-qing
	LIAO Jun-jie
	JIANG Zong-lin

Cite this article:

ZHAO Fu-Yue,YU Jing-cun,HU Bing, et al. REMOTE SENSING IMAGE CLASSIFICATION BASED ON LOGISTIC MODEL[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(1): 36-41，65.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2001.01.07 OR https://www.gtzyyg.com/EN/Y2001/V13/I1/36

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