DocumentCode
24685
Title
Directionally Adaptive Filter for Synthetic Aperture Radar Interferometric Phase Images
Author
Fu, Sihua ; Long, Xuejun ; Yang, Xia ; Yu, Qifeng
Author_Institution
Coll. of Optoelectric Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume
51
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
552
Lastpage
559
Abstract
The obvious directionality inherent in interferometric synthetic aperture radar interferograms allows noise to be filtered very effectively along the fringe direction, leaving the fringe phase undamaged. This paper proposes a highly reliable method for the simultaneous estimation of the direction and density of interferograms, on the basis of which a directionally adaptive filter (DAF) is further proposed. Compared with existing filters, the DAF has a filter window whose direction is able to vary continuously with the fringe direction. The window length and width can be varied adaptively with the fringe density: a large window achieves better filtering results when the fringes are sparse, whereas a small window is better able to preserve the phase detail when they are dense. The processing results of both simulated and real data demonstrate that the DAF effectively eliminates noise and preserves detailed fringe information because its filter window performs adaptively in terms of both direction and size.
Keywords
adaptive filters; geophysical image processing; geophysical techniques; interference suppression; radar interferometry; synthetic aperture radar; directionally adaptive filter; filter window; fringe density; fringe direction; fringe information; fringe phase; interferometric synthetic aperture radar interferograms; phase detail; synthetic aperture radar interferometric phase images; window length; window width; Adaptive filters; Filtering; Frequency estimation; Maximum likelihood estimation; Noise; Reliability; Synthetic aperture radar; Fringe density; fringe direction; interferometry; phase filtering; synthetic aperture radar (SAR);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2202911
Filename
6239589
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