文献类型：期刊文献

英文题名：Object oriented classification of high spatial imagery using Gabor textures and composite kernels

作者：Huo, Lian-Zhi[1] Tang, Ping[1] Wu, Hong-Gan[2]

第一作者：Huo, Lian-Zhi

通信作者：null

机构：[1] Institute of Remote Sensing Applications, Chinese Academy of Sciences, Chao Yang, Beijing 100101, China; [2] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Hai Dian, Beijing 100091, China

年份：2011

起止页码：475-478

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20114614516103)

语种：英文

外文关键词：Image classification

摘要：High spatial resolution images are widely used in many different areas. In order to increase classification accuracy, texture feature are widely studied. This paper presents a method of object oriented texture analysis method based on Gabor filters. In fusion of spectral features and Gabor textures, composite kernel methods were applied. The results show its effectiveness in extracting texture information using Gabor filters. And it is demonstrated that fusion of Gabor texture and spectral features using composite kernels is effective. ? 2011 IEEE.