Abstract:
The obvious directionality inherent in interferometric synthetic aperture radar interferograms allows noise to be filtered very effectively along the fringe direction, le...Show MoreMetadata
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.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 51, Issue: 1, January 2013)
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- IEEE Keywords
- Index Terms
- Synthetic Aperture Radar ,
- Interferometric Phase ,
- Interferometric Imaging ,
- Simulated Data ,
- Window Width ,
- Interferometric Synthetic Aperture Radar ,
- Filtering Results ,
- Filter Window ,
- Probability Density Function ,
- Additive Noise ,
- Point Values ,
- Digital Elevation Model ,
- Density Map ,
- Minimum Variance ,
- Direct Function ,
- Phase Variation ,
- Phase Values ,
- Variation In Direction ,
- Current Point ,
- Lee Filter ,
- Noise Suppression ,
- Phase Noise ,
- Horizontal Coordinates ,
- Plane Fitting ,
- Decorrelation ,
- Simulated Images ,
- Phase Gradient ,
- Filter Parameters ,
- Median Filter
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Synthetic Aperture Radar ,
- Interferometric Phase ,
- Interferometric Imaging ,
- Simulated Data ,
- Window Width ,
- Interferometric Synthetic Aperture Radar ,
- Filtering Results ,
- Filter Window ,
- Probability Density Function ,
- Additive Noise ,
- Point Values ,
- Digital Elevation Model ,
- Density Map ,
- Minimum Variance ,
- Direct Function ,
- Phase Variation ,
- Phase Values ,
- Variation In Direction ,
- Current Point ,
- Lee Filter ,
- Noise Suppression ,
- Phase Noise ,
- Horizontal Coordinates ,
- Plane Fitting ,
- Decorrelation ,
- Simulated Images ,
- Phase Gradient ,
- Filter Parameters ,
- Median Filter
- Author Keywords