Publications

@inproceedings{9105150,

title = {Multitemporal Sar Image Despeckling Based on Immse Filtering},

author = {Mohamed Yahia and Tarig Ali and Md. Maruf Mortula and Samy El Mahdi and Nuwanthi Sashipraba Arampola},

doi = {10.1109/M2GARSS47143.2020.9105150},

year  = {2020},

date = {2020-03-01},

booktitle = {2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)},

pages = {113-116},

abstract = {Most multitemporal filtering techniques assume that pixels remain unchanged over the time so that all the pixels at the same position in the time series are averaged. However, this assumption is not suitable in a long-period time series. To overcome this problem, a novel approach for temporal filtering of SAR image time series by applying the iterative minimum mean square error (IMMSE) approach is proposed. Real and simulated time series data sets were tested. Results showed that the IMMSE preserved the temporal unchanged areas filtered and enhanced the blurred temporal changed details.},

keywords = {Filtering;Time series analysis;Geoscience and remote sensing;Mean square error methods;Radar polarimetry;Iterative methods;IMMSE filter;Multitemporal SAR;speckle},

pubstate = {published},

tppubtype = {inproceedings}

}