Polarimetric SAR Speckle Reduction Based on Bilateral Filtering

Leida xuebao

Wang Shuang¹  Jiao Li-cheng¹  Hou Biao¹  Yu Jia-ping¹  Liu Kun¹ 

[1] Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University;

关键词: Remote sensing image;    Polarimetric SAR (Pol-SAR);    Bilateral filtering;    Distance measure;    Polarimetric covariance matrix C;   

DOI  :  10.3724/SP.J.1300.2014.13133

来源: DOAJ

【 摘 要 】

The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR. Based on the multiplicative noise model and complex matrix, an effective distance similarity measure method is derived, which can process covariance matrix C or coherent matrix T directly. Experiments show that this method can effectively reduce speckle and maintain the polarization information, point targets, and texture structure. Moreover, it can handle large polarimetric SAR with simplicity and ease.

【 授权许可】

Unknown