文章基本信息

标题：SAR image classification based on its texture features
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作者：Li Pingxiang ; Fang Shenghui
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2003
卷号：6
期号：3
页码：16-19
DOI：10.1007/BF02826887
出版社：Taylor and Francis Ltd
摘要：SAR images not only have the characteristics of all-ay, all-eather, but also provide object information which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The authors conducted the experiments of texture statistics analysis on SAR image features in order to improve the accuracy of SAR image interpretation. It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpretation.
关键词：texture analysis; classification; gray co-occurrence