摘要
该文提出了一种可用于全极化SAR的潮间带区域地物分类的方法。首先针对潮间带的特点对4种典型极化特征进行分析和筛选,得到一组最适合描述潮间带区域的多极化特征:极化熵(Polarimetric entropy)和反熵(Anisotropy)。然后基于对潮间带区域极化熵图像的散射特性分析和极值理论,利用广义极值分布(Generalized Extreme Value,GEV)描述其统计特性。在此基础上,提出了一种基于GEV混合模型的EM算法实现对潮间带地物分类的方法。最后,基于上海崇明东滩潮间带的Radarsat-2全极化数据进行了实验,实验结果证明了方法的有效性。
This paper proposes a classification method for the intertidal area using quad-polarimetric synthetic aperture radar data. In this paper, a systematic comparison of four well-known multipolarization features is provided so that appropriate features can be selected based on the characteristics of the intertidal area.Analysis result shows that the two most powerful multipolarization features are polarimetric entropy and anisotropy. Furthermore, through our detailed analysis of the scattering mechanisms of the polarimetric entropy, the Generalized Extreme Value（GEV） distribution is employed to describe the statistical characteristics of the intertidal area based on the extreme value theory. Consequently, a new classification method is proposed by combining the GEV Mixture Models and the EM algorithm. Finally, experiments are performed on the Radarsat-2 quad-polarization data of the Dongtan intertidal area, Shanghai, to validate our method.
作者
折小强
仇晓兰
雷斌
张薇
卢晓军
She Xiaoqiang;Qiu Xiaolan;Lei Bin;Zhang Wei;Lu Xiaojun(Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100190, China;National Disaster Reduction Center of the Ministry of Civil Affairs, Beijing 100124, China;China International Engineering Consulting Corporation, Beijing 100048, China)
出处
《雷达学报（中英文）》
CSCD
2017年第5期554-563,共10页
Journal of Radars
基金
国家自然科学基金(61331017)
国家高分重大专项(30-Y20A12-9004-15/16)~~
关键词
合成孔径雷达(SAR)
多极化特征
广义极值分布(GEV)
有限混合模型
潮间带地物分类
Synthetic Aperture Radar （SAR）
Multi-polarization features
Generalized Extreme Value （GEV）distribution
Finite Mixture Model （FMM）
Intertidal area classification
