文献类型：会议论文

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：Huo, LZ[1]

机构：[1]Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Techniques, Beijing 100091, Peoples R China

会议论文集：IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 24-29, 2011

会议地点：Vancouver, CANADA

语种：英文

外文关键词：Gabor texture; composite kernels; object oriented

年份：2011

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.