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遥感技术与应用  2012, Vol. 27 Issue (6): 896-903    DOI: 10.11873/j.issn.1004-0323.2012.6.896
图像与数据处理     
全极化SAR极化特征谱应用研究
王庆,曾琪明,焦健
(北京大学遥感与GIS研究所,北京 100871)
The Application Research of Polarization Characteristic Spectrum for Polarimetric SAR
Wang Qing,Zeng Qiming,Jiao Jian
(Institute of RS and GIS,Peking University,Beijing 100871,China)
 全文: PDF(4922 KB)  
摘要:

在分析特征值分解结果,全部散射机制组合和极化特征谱性质的基础上,提出基于3个特征谱参数的假彩色合成方法,可以更加有效直观地反映地物散射特征,再对散射熵、散射角、反熵和4个极化特征谱参数进行特征选择分析,给出最佳的多维特征向量选择方案,从而实现传统遥感图像分类器如同ISODATA算法对极化SAR图像的分类。实验选择了一景Radarsat\|2标准全极化SAR数据,包含典型的城市、植被和水体三大类地物,实验结果表明:极化特征谱假彩色合成充分反映了各地物散射特征,特征谱和散射角组成了最佳特征向量,非监督分类结果表明:该方法克服了城市与植被在H\|Alpha平面上分布界限模糊的问题,分类精度高于H\|Alpha平面非监督分类,与Wishart-H-Alpha-A分类方法相当。

关键词: 全极化SAR特征谱特征值分解非监督分类    
Abstract:

This paper analyzes the eigenvalue decomposition,all combinations of scattering mechanisms and polarization characteristic spectrum,and then proposes a method of false color composition based on three kinds of characteristic spectral parameters,which can be more effective directly reflect the scattering feature.Then,the scattering entropy,scattering angle,anti-entropy and four parameters of polarization characteristic spectrum area are studied in feature space.And this paper gives the best options for multi-dimensional feature vector,in order to achieve the traditional classification algorithm to process polarimetric SAR images,such as ISODATA.This study selects a scene of Radarsat-2 polarimetric SAR data for test,including typical urban,vegetation and water.The experimental results show that the false color composition with polarization characteristic spectrum reflects the local feature of the scattering material.The unsupervised classification with three of  characteristic spectrum and scattering angle show that the proposed method overcome the defects in H-Alpha plane,which causes blurring segment between city and the vegetation.Classification accuracy is higher than the unsupervised classification with H-Alpha plane,but has the similar effect with Wishart-H-Alpha-A classification algorithm.

Key words: Polarimetric SAR    Characteristic spectrum    Eigenvalue decomposition    Unsupervised classification
收稿日期: 2011-11-27 出版日期: 2013-06-25
:  TN 958  
基金资助:

国家自然科学基金项目(41171267),国家863计划项目(2012AA121304)。

通讯作者: 曾琪明(1964-),男,湖南邵东人,教授,博士生导师,主要从事微波遥感研究。Email:qmzeng@pku.edu.cn。    
作者简介: 王庆(1986-),男,安徽定远人,博士研究生,主要从事微波遥感应用方面的研究。Email:wangqing_rs@pku.edu.cn。
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引用本文:

王庆,曾琪明,焦健. 全极化SAR极化特征谱应用研究[J]. 遥感技术与应用, 2012, 27(6): 896-903.

Wang Qing,Zeng Qiming,Jiao Jian. The Application Research of Polarization Characteristic Spectrum for Polarimetric SAR. Remote Sensing Technology and Application, 2012, 27(6): 896-903.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.6.896        http://www.rsta.ac.cn/CN/Y2012/V27/I6/896

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