DocumentCode :
143123
Title :
Spatially adaptive nonlocal total variation for PolSAR despeckling
Author :
Xiaoshuang Ma ; Huanfeng Shen ; Qiangqiang Yuan ; Liangpei Zhang
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
1670
Lastpage :
1673
Abstract :
In this paper, we present two spatially adaptive nonlocal total variation methods for the speckle filtering of synthetic aperture radar (SAR) images. One is for the despeckling of SAR intensity images, and the other one is for full polarimetric SAR (PolSAR) images. Experiments were conducted on two simulated images and an airborne PolSAR images to illustrate the filtering performances, and the results show that the proposed methods effectively reduces speckle, retains edges and targets, and preserves the polarimetric scattering mechanisms.
Keywords :
airborne radar; image processing; radar polarimetry; synthetic aperture radar; PolSAR despeckling; PolSAR image; SAR intensity image despeckling; SAR speckle filtering; airborne PolSAR image; filtering performance; full polarimetric SAR image; polarimetric scattering mechanism; simulated image; spatially adaptive nonlocal total variation method; speckle reduction; synthetic aperture radar image; Covariance matrices; Filtering theory; Noise; Speckle; Synthetic aperture radar; TV; Polarimetric synthetic aperture radar; speckle filtering; total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946770
Filename :
6946770
Link To Document :
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