Feature extraction and classification with wavelet transform and support vector machines

被引：0
|
作者：
Zhang, SY [1 ]
Xue, XR [1 ]
Zhang, X [1 ]
机构：
[1] Peking Univ, Sch Math Sci, LMAM, Beijing 100871, Peoples R China
来源：
IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS | 2005年
关键词：
feature extraction; texture classification; wavelet; support vector machines; neural networks;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
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.
引用
收藏
页码：3795 / 3798
页数：4
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