Publications

@inproceedings{9385715,

title = {Polarimetric SAR Image Denoising Using the Improved Immse Filter},

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

doi = {10.1109/ICCSPA49915.2021.9385715},

year  = {2021},

date = {2021-03-01},

booktitle = {2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA)},

pages = {1-4},

abstract = {Speckle filtering in synthetic aperture radar polarimetry (PolSAR) images is essential for the extraction of significant information for homogeneous extended targets. Obtaining good compromise between high equivalent number of looks (ENL) and spatial detail preservation remains a challenge. In this paper, the filtering performances are improved by hybridizing the iterative minimum mean square error (IMMSE) filter and the Lee Sigma filter. Real SAR data were used to study the effectiveness of the proposed hybrid scheme.},

keywords = {Mean square error methods;Speckle;Signal processing;Information filters;Radar polarimetry;Polarimetry;Synthetic aperture radar;IMMSE filter;Lee Sigma filter;PoISAR;Speckle},

pubstate = {published},

tppubtype = {inproceedings}

}