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Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators
Open AccessArticle

Feature-Based Nonlocal Polarimetric SAR Filtering

Faculty of Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
Authors to whom correspondence should be addressed.
Remote Sens. 2017, 9(10), 1043;
Received: 5 August 2017 / Revised: 8 October 2017 / Accepted: 10 October 2017 / Published: 13 October 2017
(This article belongs to the Section Remote Sensing Image Processing)
Polarimetric synthetic aperture radar (PolSAR) images are inherently contaminated by multiplicative speckle noise, which complicates the image interpretation and image analyses. To reduce the speckle effect, several adaptive speckle filters have been developed based on the weighted average of the similarity measures commonly depending on the model or probability distribution, which are often affected by the distribution parameters and modeling texture components. In this paper, a novel filtering method introduces the coefficient of variance ( CV ) and Pauli basis (PB) to measure the similarity, and the two features are combined with the framework of the nonlocal mean filtering. The CV is used to describe the complexity of various scenes and distinguish the scene heterogeneity; moreover, the Pauli basis is able to express the polarimetric information in PolSAR image processing. This proposed filtering combines the CV and Pauli basis to improve the estimation accuracy of the similarity weights. Then, the similarity of the features is deduced according to the test statistic. Subsequently, the filtering is proceeded by using the nonlocal weighted estimation. The performance of the proposed filter is tested with the simulated images and real PolSAR images, which are acquired by AIRSAR system and ESAR system. The qualitative and quantitative experiments indicate the validity of the proposed method by comparing with the widely-used despeckling methods. View Full-Text
Keywords: polarimetric synthetic aperture radar (PolSAR); speckle; nonlocal mean (NLM) filter; coefficient of variance (CV); Pauli basis (PB) polarimetric synthetic aperture radar (PolSAR); speckle; nonlocal mean (NLM) filter; coefficient of variance (CV); Pauli basis (PB)
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MDPI and ACS Style

Xing, X.; Chen, Q.; Yang, S.; Liu, X. Feature-Based Nonlocal Polarimetric SAR Filtering. Remote Sens. 2017, 9, 1043.

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