极化合成孔径雷达图像相干斑抑制和分类方法综述  

Review on PolSAR Image Speckle Reduction and Classification Methods

作　　者：聂祥丽 黄夏渊 张波[3] 乔红[1] NIE Xiang-Li;HUANG Xia-Yuan;ZHANG Bo;QIAO Hong(State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;Key Laboratory of Data Link Technology, China Electronics Technology Group Corporation (CETC), Xi0an 710068;Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190)

机构地区：[1]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [2]中国电子科技集团公司数据链技术重点实验室,西安710068 [3]中国科学院数学与系统科学研究院应用数学研究所,北京100190

出　　处：《自动化学报》2019年第8期1419-1438,共20页Acta Automatica Sinica

基　　金：国家自然科学基金(61602483,91648205,61802408,U1435220);中国电子科技集团公司数据链技术重点实验室开放基金资助~~

摘　　要：极化合成孔径雷达(Polarimetric synthetic aperture radar, Pol SAR)是一种多参数、多通道的微波成像系统,在农林业、地质、海洋和军事等领域有着广泛的应用前景. PolSAR图像的相干斑抑制和分类是数据解译的重要环节,已经成为遥感领域的研究热点.本文综述了现有PolSAR图像的相干斑噪声抑制和分类方法并进行展望.首先,简要介绍了PolSAR系统的主要进展和应用;然后,对PolSAR图像相干斑抑制的评价指标和方法进行综述并对几种代表性方法进行了实验对比;接下来,对PolSAR图像的特征进行分析归纳,分别对有监督、无监督和半监督的PolSAR分类方法进行总结并给出了几种有监督分类方法的实验比较;最后,对PolSAR图像相干斑抑制和分类方法未来可能的研究方向进行了思考和讨论.Polarimetric synthetic aperture radar(PolSAR) is a multi-parameter multi-channel microwave imaging system and it has wide applications in many fields such as agroforestry, geology, oceanography and military. Speckle reduction and classification are important steps in the PolSAR image interpretation process and the related techniques have become a hot research topic in remote sensing. This paper reviews the existing PolSAR image speckle reduction and classification methods. Firstly, the main progresses and applications of PolSAR systems are briefly described. Then, the speckle reduction methods for PolSAR image are summarized and comparative experiments are conducted on several representative despeckling methods. Next, the features for PloSAR classification are discussed and the algorithms for supervised,unsupervised and semi-supervised classification are reviewed. Besides, the experiments on several supervised classification methods are given. Finally, the potential further research directions of the PolSAR image speckle reduction and classification methods are discussed.

关 键 词：极化合成孔径雷达 相干斑噪声抑制算法 特征提取 分类方法 

分 类 号：TN957.52[电子电信—信号与信息处理]