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Proceedings Paper

Subsidence measurement and DSM extraction of IFSAR data using anisotropic diffusion and wavelet denoising filters
Author(s): Kenneth Sartor; Josef De Vaughn Allen; Emile Ganthier; Mark Rahmes; Gnana Bhaskar Tenali; Samuel Kozaitis
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Paper Abstract

The most commonly used smoothing algorithms for complex data processing are low pass filters. Unfortunately, an undesired side effect of the aforementioned techniques is the blurring of scene discontinuities in the interferogram. For Digital Surface Map (DSM) extraction and subsidence measurement, the smoothing of the scene discontinuities can cause inaccuracy in the final product. Our goal is to perform spatially non-uniform smoothing to overcome the aforementioned disadvantages. We achieve this by using an Anisotropic Non-Linear Diffuser (ANDI). Here, in this paper we will show the utility of ANDI filtering on simulated and actual Interferometric Synthetic Aperture Radar (IFSAR) data for preprocessing, subsidence measurement and DSM extraction to overcome the difficulties of typical filters. We also compare the results of the ANDI filter with a wavelet filter. Finally, we detail some of our results of the New Orleans IFSAR research project with Canadian Space Agency, NASA, and USGS. The Harris LiteSiteTM Urban 3D Modeling software is used to illustrate some of the results of our RADARSAT-1 processing.

Paper Details

Date Published: 15 April 2008
PDF: 19 pages
Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700L (15 April 2008); doi: 10.1117/12.777731
Show Author Affiliations
Kenneth Sartor, Harris Corp. (United States)
Josef De Vaughn Allen, Harris Corp. (United States)
Emile Ganthier, Harris Corp. (United States)
Mark Rahmes, Harris Corp. (United States)
Gnana Bhaskar Tenali, Florida Institute of Technology (United States)
Samuel Kozaitis, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6970:
Algorithms for Synthetic Aperture Radar Imagery XV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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