Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter

Despeckling is a key preprocessing step for applications using PolSAR data in most cases. In this paper, a technique based on a nonlocal weighted linear minimum mean-squared error (NWLMMSE) filter is proposed for polarimetric synthetic aperture radar (PolSAR) speckle filtering. In the process of fil...

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Autores principales:	Yinbin Shen, Xiaoshuang Ma, Shengyuan Zhu, Jiangong Xu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	polarimetric synthetic aperture radar speckle filtering complex Wishart distribution nonlocal means Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c30339f9711b43a8b448345c13209c25
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spelling	oai:doaj.org-article:c30339f9711b43a8b448345c13209c252021-11-11T19:19:14ZPolarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter10.3390/s212173931424-8220https://doaj.org/article/c30339f9711b43a8b448345c13209c252021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7393https://doaj.org/toc/1424-8220Despeckling is a key preprocessing step for applications using PolSAR data in most cases. In this paper, a technique based on a nonlocal weighted linear minimum mean-squared error (NWLMMSE) filter is proposed for polarimetric synthetic aperture radar (PolSAR) speckle filtering. In the process of filtering a pixel by the LMMSE estimator, the idea of nonlocal means is employed to evaluate the weights of the samples in the estimator, based on the statistical equalities between the neighborhoods of the sample pixels and the processed pixel. The NWLMMSE estimator is then derived. In the preliminary processing, an effective step is taken to preclassify the pixels, aiming at preserving point targets and considering the similarity of the scattering mechanisms between pixels in the subsequent filter. A simulated image and two real-world PolSAR images are used for illustration, and the experiments show that this filter is effective in speckle reduction, while effectively preserving strong point targets, edges, and the polarimetric scattering mechanism.Yinbin ShenXiaoshuang MaShengyuan ZhuJiangong XuMDPI AGarticlepolarimetric synthetic aperture radarspeckle filteringcomplex Wishart distributionnonlocal meansChemical technologyTP1-1185ENSensors, Vol 21, Iss 7393, p 7393 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	polarimetric synthetic aperture radar speckle filtering complex Wishart distribution nonlocal means Chemical technology TP1-1185
spellingShingle	polarimetric synthetic aperture radar speckle filtering complex Wishart distribution nonlocal means Chemical technology TP1-1185 Yinbin Shen Xiaoshuang Ma Shengyuan Zhu Jiangong Xu Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
description	Despeckling is a key preprocessing step for applications using PolSAR data in most cases. In this paper, a technique based on a nonlocal weighted linear minimum mean-squared error (NWLMMSE) filter is proposed for polarimetric synthetic aperture radar (PolSAR) speckle filtering. In the process of filtering a pixel by the LMMSE estimator, the idea of nonlocal means is employed to evaluate the weights of the samples in the estimator, based on the statistical equalities between the neighborhoods of the sample pixels and the processed pixel. The NWLMMSE estimator is then derived. In the preliminary processing, an effective step is taken to preclassify the pixels, aiming at preserving point targets and considering the similarity of the scattering mechanisms between pixels in the subsequent filter. A simulated image and two real-world PolSAR images are used for illustration, and the experiments show that this filter is effective in speckle reduction, while effectively preserving strong point targets, edges, and the polarimetric scattering mechanism.
format	article
author	Yinbin Shen Xiaoshuang Ma Shengyuan Zhu Jiangong Xu
author_facet	Yinbin Shen Xiaoshuang Ma Shengyuan Zhu Jiangong Xu
author_sort	Yinbin Shen
title	Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
title_short	Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
title_full	Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
title_fullStr	Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
title_full_unstemmed	Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
title_sort	polarimetric sar speckle filtering using a nonlocal weighted lmmse filter
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c30339f9711b43a8b448345c13209c25
work_keys_str_mv	AT yinbinshen polarimetricsarspecklefilteringusinganonlocalweightedlmmsefilter AT xiaoshuangma polarimetricsarspecklefilteringusinganonlocalweightedlmmsefilter AT shengyuanzhu polarimetricsarspecklefilteringusinganonlocalweightedlmmsefilter AT jiangongxu polarimetricsarspecklefilteringusinganonlocalweightedlmmsefilter
_version_	1718431550927798272

Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter

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