Publications

@inproceedings{8898058,

title = {The Contribution of the Non-Local Means to the Iterative Mmse Sar Despeckling},

author = {Soumaya Fatnassi and Mohamed Yahia and Riadh Abdelfattah},

doi = {10.1109/IGARSS.2019.8898058},

issn = {2153-7003},

year  = {2019},

date = {2019-07-01},

booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium},

pages = {1781-1784},

abstract = {In this paper, we enhanced the performance of the iterative minimum mean square error filter (IMMSE) in terms of speckle suppression and detail retaining by establishing another version of the minimum mean square error MMSE estimator and adapting the iterative procedure to the non-local structure similarity. The non-local principle is introduced in the calculation of the IMMSE filter parameters. Simulated and Spaceborne (Sentinel1 Amdoun region-Tunisia) high-resolution synthetic aperture radar SAR data were used for validation.},

keywords = {Speckle;Information filters;Reactive power;Synthetic aperture radar;Optical filters;NL filter;IMMSE filter;SAR;Sentinel1;Speckle},

pubstate = {published},

tppubtype = {inproceedings}

}