DocumentCode
46970
Title
Nonlocal Means Filter for Polarimetric SAR Data Despeckling Based on Discriminative Similarity Measure
Author
Ganchao Liu ; Hua Zhong
Author_Institution
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xian, China
Volume
11
Issue
2
fYear
2014
fDate
Feb. 2014
Firstpage
514
Lastpage
518
Abstract
This letter proposed a new nonlocal polarimetric synthetic aperture radar (PolSAR) filter based on discriminative similarity measure (DSM). The DSM, which is implemented in the form of maximum a posteriori (MAP), deals with the speckle and the underlying speckle-free signal of PolSAR data individually. Due to its MAP form, the DSM achieves good balance between the similarity of the speckle and the similarity of the underlying speckle-free signal. And then this balance can lead to excellent performance on both speckle smoothing and detail preservation. Results are shown to demonstrate its competence when compared with the state-of-the-art methods.
Keywords
polarimetry; synthetic aperture radar; PolSAR filter; PolSAR speckle-free signal; discriminative similarity measure; nonlocal means filter; nonlocal polarimetric synthetic aperture radar filter; polarimetric SAR data despeckling; speckle-free signal; state-of-the-art methods; Covariance matrices; Estimation; Indexes; Remote sensing; Smoothing methods; Speckle; Synthetic aperture radar; Complex Wishart distribution; nonlocal means (NLM) filter; polarimetric synthetic aperture radar (PolSAR); similarity measure;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2271321
Filename
6562747
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