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遥感技术与应用  2010, Vol. 25 Issue (1): 31-37    DOI: 10.11873/j.issn.1004-0323.2010.1.31
研究与应用     
基于特征值分解的全极化SAR遥感数据分类研究
王 庆1,2,廖静娟1,田帮森1
1.中国科学院对地观测与数字地球科学中心,北京 100101; 2.中国科学院研究生院,北京 100049
Polarimetric SAR Data Classification with Eigenvalue-based Decompositions
WANG Qing1,2,LIAO Jing-juan1,TIAN Bang-sen1
1.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;  2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China
 全文: PDF(3586 KB)  
摘要:

应用极化目标特征值分解理论,研究了全极化合成孔径雷达图像的精细分类问题,在H-α-Wishart分类基础上引入平均散射功率,并根据不同地物的散射功率强度信息,给出了一种简单的阈值分割方法,最后利用鄱阳湖地区的Radarsat-2全极化数据进行了实验和分析,结果发现引入平均散射功率信息后的分类类别更多、精度更好。

关键词: 全极化特征值分解Radarsat-2散射功率    
Abstract:

This paper applied the eigenvector\|based decompositions method,and studied the fine classification problem of the polarimetric SAR imagery.Under the analysis of H-Alpha plane,we introduced another characteristic parameter named the mean target power (span) which was presented with all of eigenvalues and pseudo\|probabilities.And a simple method of selecting thresholds to segment the mean target power of the targets was given,and the Radarsat-2 data of Poyang Lake area was used to test the method.After the analysis of classification results,we found that the method firstly considering the mean power information cound provide much more detailed classification than H-Alpha plane classification with only scattering entropy and angle information.

Key words: Fully polarimetric SAR    Eigenvector decompositions    Radarsat-2    Scattering power
收稿日期: 2009-07-15 出版日期: 2011-11-04
基金资助:

973计划项目(2009CB723906)资助。

通讯作者: 王庆 E-mail:wangqing_rs@163.com。   
作者简介: 王庆(1986-),男,硕士研究生,主要研究方向为微波遥感、极化SAR遥感。
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引用本文:

王庆, 廖静娟, 田帮森. 基于特征值分解的全极化SAR遥感数据分类研究[J]. 遥感技术与应用, 2010, 25(1): 31-37.

WANG Qing, LIAO Jing-juan, TIAN Bang-Sen. Polarimetric SAR Data Classification with Eigenvalue-based Decompositions. Remote Sensing Technology and Application, 2010, 25(1): 31-37.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.1.31        http://www.rsta.ac.cn/CN/Y2010/V25/I1/31

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