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Proceedings Paper

Preprocessing of SAR interferometric data using anisotropic diffusion filter
Author(s): Kenneth Sartor; Josef De Vaughn Allen; Emile Ganthier; Gnana Bhaskar Tenali
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Paper Abstract

The most commonly used smoothing algorithms for complex data processing are blurring functions (i.e., Hanning, Taylor weighting, Gaussian, etc.). Unfortunately, the filters so designed blur the edges in a Synthetic Aperture Radar (SAR) scene, reduce the accuracy of features, and blur the fringe lines in an interferogram. For the Digital Surface Map (DSM) extraction, the blurring of these fringe lines causes inaccuracies in the height of the unwrapped terrain surface. Our goal here is to perform spatially non-uniform smoothing to overcome the above mentioned disadvantages. This is achieved by using a Complex Anisotropic Non-Linear Diffuser (CANDI) filter that is a spatially varying. In particular, an appropriate choice of the convection function in the CANDI filter is able to accomplish the non-uniform smoothing. This boundary sharpening intra-region smoothing filter acts on interferometric SAR (IFSAR) data with noise to produce an interferogram with significantly reduced noise contents and desirable local smoothing. Results of CANDI filtering will be discussed and compared with those obtained by using the standard filters on simulated data.

Paper Details

Date Published: 7 May 2007
PDF: 12 pages
Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680T (7 May 2007); doi: 10.1117/12.719806
Show Author Affiliations
Kenneth Sartor, Harris Corp. (United States)
Josef De Vaughn Allen, Harris Corp. (United States)
Emile Ganthier, Harris Corp. (United States)
Gnana Bhaskar Tenali, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6568:
Algorithms for Synthetic Aperture Radar Imagery XIV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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