Polarimetric SAR Speckle Reduction Based on Bilateral Filtering

• Published in: Journal of radars = Lei da xue bao Vol. 3; no. 1; pp. 35 - 44
• Main Authors: 王, 爽, 于, 佳平, 刘, 坤, 侯, 彪, 焦, 李成
• Format: Journal Article
• Language: English
• Published: China Science Publishing & Media Ltd. (CSPM) 01.02.2014
• Subjects: Bilateral filtering; Distance measure; Polarimetric covariance matrix C; Polarimetric SAR (Pol-SAR); Remote sensing image
• ISSN: 2095-283X; 2095-283X
• DOI: 10.3724/SP.J.1300.2014.13133

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.