Multidimensional speckle noise reduction in synthetic aperture radar images

被引：0
|
作者：
Lopez-Martinez, Carlos [1 ]
Fabregas, Xavier [1 ]
机构：
[1] Univ Politecn Cataluna, Signal Theory & Commun Dept, Remote Sensing Lab, Barcelona, Spain
来源：
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年
关键词：
D O I：
10.1109/IGARSS.2007.4422758
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new approach to filter speckle noise in multidimensional SAR data, based on the multiplicative-additive speckle noise model, is presented. This approach is based on processing the elements of the sample covariance matrix differently, according to the complex correlation coefficient. As it is demonstrated with experimental PolSAR data, the filter does not produce a loss of information, but an improvement of the capabilities to filter speckle noise.
引用
收藏
页码：176 / 179
页数：4
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