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
Link To Document :
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