Remote sensing image classification method based on evidence theory and decision tree

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	Remote sensing image classification method based on evidence theory and decision tree
	Li,Xuerong ; Xing,Qianguo ; Kang,Lingyan
通讯作者	Li,X.
	2010
会议名称	Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
会议日期	2010-10-13
会议地点	.
ISSN号	ISSN:0277786X
产权排序	(1) Graduate University, Chinese Academy of Sciences, Beijing 100080, China; (2) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Laishan District, Yantai 264003, China
关键词	Bayesian Networks Decision Trees Image Analysis Image Classification Image Reconstruction
摘要	Remote sensing image classification is an important and complex problem. Conventional remote sensing image classification methods are mostly based on Bayesian subjective probability theory, but there are many defects for its uncertainty. This paper firstly introduces evidence theory and decision tree method. Then it emphatically introduces the function of support degree that evidence theory is used on pattern recognition. Combining the D-S evidence theory with the decision tree algorithm, a D-S evidence theory decision tree method is proposed, where the support degree function is the tie. The method is used to classify the classes, such as water, urban land and green land with the exclusive spectral feature parameters as input values, and produce three classification images of support degree. Then proper threshold value is chosen and according image is handled with the method of binarization. Then overlay handling is done with these images according to the type of classifications, finally the initial result is obtained. Then further accuracy assessment will be done. If initial classification accuracy is unfit for the requirement, reclassification for images with support degree of less than threshold is conducted until final classification meets the accuracy requirements. Compared to Bayesian classification, main advantages of this method are that it can perform reclassification and reach a very high accuracy. This method is finally used to classify the land use of Yantai Economic and Technological Development Zone to four classes such as urban land, green land and water, and effectively support the classification. © 2010 Copyright SPIE - The International Society for Optical Engineering.
作者部门	信息办
学科领域	摄影测量与遥感
URL	查看原文
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.yic.ac.cn/handle/133337/4793
专题	支撑部门
推荐引用方式 GB/T 7714	Li,Xuerong,Xing,Qianguo,Kang,Lingyan. Remote sensing image classification method based on evidence theory and decision tree[C]:SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States,2010.

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