EXTRACTION OF GEOMETRIC ATTRIBUTES OF OBJECTS FOR IMPROVING IMAGE CLASSIFICATION

doi:10.6046/gtzyyg.2001.01.06

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Abstract

This paper deals with the techniques for improving image classification by extracting geometric attributes of objects. In this paper, we first introduce one kind of symmetry transform called directional symmetry transform, which can provide more geometric information about objects. Based on it, we present one algorithm for improving image classification by determining scale factors relating to supervised learning. The results show that the number of the mixed pixels can be efficiently reduced by using the proposed method.

Keywords Grain production safety GIS Early warning

Issue Date: 02 August 2011

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	LI Zhi-Bin
	CHEN You-Qi
	YAO Yan-Min
	SHI Shu-Qin
	HE Ying-Bin
	JIN Jun-jie
	CHEN Jian-guo

Cite this article:

LI Zhi-Bin,CHEN You-Qi,YAO Yan-Min, et al. EXTRACTION OF GEOMETRIC ATTRIBUTES OF OBJECTS FOR IMPROVING IMAGE CLASSIFICATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(1): 31-35，65.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2001.01.06 OR https://www.gtzyyg.com/EN/Y2001/V13/I1/31

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