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	Feature extraction and classification with wavelet transform and support vector machines
	Zhang, SY ; Xue, XR ; Zhang, X
	2005
关键词	feature extraction texture classification wavelet support vector machines neural networks TEXTURE CLASSIFICATION IMAGE CLASSIFICATION
英文摘要	This paper introduces texture classification method by using wavelet transform and support vector machines. First, a wavelet-based texture feature set is obtained by the overcomplete wavelet decomposition of local areas in remote sensing images, then the texture classification is carried out by the SVM technique. The experiment results show that the method above discussed is admissible.; Geosciences, Multidisciplinary; Remote Sensing; CPCI-S(ISTP); 0
语种	英语
出处	SCI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/315431]
专题	数学科学学院
推荐引用方式 GB/T 7714	Zhang, SY,Xue, XR,Zhang, X. Feature extraction and classification with wavelet transform and support vector machines. 2005-01-01.

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