Abstract | ||
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This paper proposes a new morphological filter for SAR interferograms. It is based on a modified version of alternate sequential filters with reconstruction (MASF), in which the structuring elements are adaptively defined according to the fringe directions. This provides a good fidelity to the fringe information while efficiently removing noise. Another feature of the proposed approach is to apply the filter on the original interferogram and on shifted version, to overcome the wrapping of the phase, and to combine the two results. The proposed filtering technique is then tested on both simulated and real data with different levels of noise. It is also compared to previous techniques according to simplicity and noise reduction. |
Year | DOI | Venue |
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2010 | 10.1109/IGARSS.2010.5653767 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
filtering theory,radar imaging,radar interferometry,synthetic aperture radar,SAR interferogram,SAR interferometric image,fringe direction,morphological filtering,sequential filter,SAR interferometry,alternate sequential filter,geodesic reconstruction,morphological filtering | Noise reduction,Iterative reconstruction,Data modeling,Computer vision,Radar imaging,Noise measurement,Computer science,Synthetic aperture radar,Remote sensing,Filter (signal processing),Artificial intelligence,Pixel | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 1 |
PageRank | References | Authors |
0.39 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Réjichi, S. | 1 | 1 | 0.39 |
Chaabane, F. | 2 | 7 | 1.69 |
Florence Tupin | 3 | 1322 | 109.27 |
Isabelle Bloch | 4 | 15 | 1.66 |