Publications

@inproceedings{9883272,

title = {On MMSE Speckle Filtering of Polsar Images},

author = {Mohamed Yahia and Tarig Ali and Maruf Mortula and Riadh Abdelfattah},

doi = {10.1109/IGARSS46834.2022.9883272},

issn = {2153-7003},

year  = {2022},

date = {2022-07-01},

booktitle = {IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium},

pages = {373-376},

abstract = {The minimum mean square error (MMSE) based filters constitute an important branch of speckle reduction filtering techniques of synthetic aperture radar (SAR) and Polarimetric SAR (PolSAR) images. In this paper, the performance of MMSE based in terms of speckle reduction and spatial detail preservation is revised. To preserve the spatial details, the weight coefficient $b$ should be equal to 1. However, the authors demonstrated in this paper that this parameter do not fulfill this condition. As a consequence, the MMSE-based filters have some limitations in spatial detail preservation. In PolSAR filtering, the weight coefficient $b$ is estimated from the span image. However, it has been demonstrated that the standard deviation of the span (i. e. $sigma_v(span)$) is a pixel dependent. The use of a fixed $sigma_v(span)$ for the entire image as applied in the majority of the state of the art MMSE filters is not optimal.},

keywords = {Filtering;Geoscience and remote sensing;Mean square error methods;Speckle;Synthetic aperture radar;Standards;Speckle;MMSE filter;PolSAR;span},

pubstate = {published},

tppubtype = {inproceedings}

}