DocumentCode
51366
Title
Interferometric Phase Denoising by Median Patch-Based Locally Optimal Wiener Filter
Author
Mingyu Cao ; Shiqiang Li ; Wang, Robert ; Ning Li
Author_Institution
Dept. of Space Microwave Remote Sensing Syst., Inst. of Electron., Beijing, China
Volume
12
Issue
8
fYear
2015
fDate
Aug. 2015
Firstpage
1730
Lastpage
1734
Abstract
This letter presents a new filtering technique for interferometric synthetic aperture radar (InSAR) phase images. Traditional local denoising algorithms all suffer from the drawback of removing texture detail information. In contrast, several nonlocal methods have attained good performance in InSAR applications. However, these methods only take radiometric similarity. The patch-based locally optimal Wiener filter (PLOW) utilizes both geometrically and radiometrically similar patch information by clustering analysis and nonlocal filtering; thus, it can better balance between detail preservation and denoising. Nevertheless, PLOW itself is not fitted for InSAR. In this letter, we modify and improve the original algorithm while considering the coherence coefficient and the characteristics of InSAR. This new method provides better filtering results, but with a higher computational cost. Moreover, we introduce the box dimension in fractal geometry as a new index. Experiments on simulated and real data demonstrate that this algorithm outperforms traditional denoising methods.
Keywords
Wiener filters; fractals; image filtering; image texture; pattern clustering; radar imaging; radar interferometry; radiometry; synthetic aperture radar; InSAR phase imaging; PLOW; clustering analysis; fractal geometry; image texture removal; interferometric phase denoising; interferometric synthetic aperture radar phase imaging; median patch-based locally optimal Wiener filter; nonlocal filtering; radiometric; Algorithm design and analysis; Coherence; Indexes; Nickel; Noise; Noise reduction; Synthetic aperture radar; Box dimension; Wiener filters; interferometric synthetic aperture radar (InSAR) denoising; nonlocal;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2015.2422788
Filename
7100863
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