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Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering
Yahia, Mohamed Ali, Tarig Mortula, Maruf Abdelfattah, Riadh El Mahdy, Samy
Yahia, Mohamed
Ali, Tarig
Mortula, Maruf
Abdelfattah, Riadh
El Mahdy, Samy
Date
2020
Advisor
Type
Peer-Reviewed
Article
Published version
Article
Published version
Degree
Description
Abstract
Speckle filtering in synthetic aperture radar polarimetry (PolSAR) is essential for the extraction of significant information. In this study, the authors introduced a hybrid iterative filtering scheme. The proposed iterative filter is initialized by a polarimetric filter ensuring a high speckle reduction level. Then, to enhance the spatial details, the iterative filter is applied for few iterations. The key parameter b k which traduced the variability of the pixels has been studied. An expression that takes into account the following important numerical considerations is proposed. 1) The variability of the pixel is measured by coefficient variation (CV) rather than the variance. 2) The statistics are computed using non-local neighborhood instead of local square one. 3) A new normalizing function (i. e. hyperbolic tangent) is implemented. 4) The dynamic of range of b k is increased by multiplying the CVs of the filtered and the originals images. Comparison with various state of the art PolSAR filters demonstrated the effectiveness of the proposed iterative method. Simulated, one-look and multilook real PolSAR data were used for validation.