王延霞,李鹏,盛业华,李德亮

• 1:滁州学院地理信息与旅游学院
• 2:安徽省地理信息集成协同创新中心
• 3:虚拟地理环境教育部重点实验室

摘要(Abstract)：

针对仅利用物理散射特征分类方法无法实现精细类别差异区分和分辨率保持的问题,该文设计了一种将物理散射机制和统计特征相结合的极化SAR非监督分类算法。该算法采用加利福尼亚州Camp Roberts地区的JPL AIRSAR数据,通过H/A/珔α和Wishart分类相结合的非监督分类方法,对900像素×900像素大小的研究区进行了分类,分类结果表明,该算法在保持分辨率及区分精细类别差异方面是有效的。

关键词(KeyWords)： 极化SAR;Wishart分类;H/A/珔α平面;非监督分类

Abstract:

Keywords:

基金项目(Foundation): 2014年滁州学院规划项目(2014GH02);; 2016年虚拟地理环境教育部重点实验室开放基金资助项目(2015VGE01);; 2015年博士科研启动基金项目(2015qd06)

作者(Author): 王延霞,李鹏,盛业华,李德亮

DOI: 10.16251/j.cnki.1009-2307.2017.09.017

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