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.
Received: 5 August 2017 / Revised: 8 October 2017 / Accepted: 10 October 2017 / Published: 13 October 2017
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 (
) and Pauli basis (PB) to measure the similarity, and the two features are combined with the framework of the nonlocal mean filtering. The
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
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.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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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.
Xing X, Chen Q, Yang S, Liu X. Feature-Based Nonlocal Polarimetric SAR Filtering. Remote Sensing. 2017; 9(10):1043.
Xing, Xiaoli; Chen, Qihao; Yang, Shuai; Liu, Xiuguo. 2017. "Feature-Based Nonlocal Polarimetric SAR Filtering." Remote Sens. 9, no. 10: 1043.
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