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Proceedings Paper

Radar scattering statistics for digital terrain models
Author(s): Kelce Wilson; Dale Patrick; James Blair
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Paper Abstract

The statistic results for a digital terrain model are presented that closely match measurements for 77% of the 189 possible combinations of 7 radar bands, 3 polarizations, and 9 terrain types. The model produces realistic backscatter coefficient values for the scenarios over all incidence angles from normal to grazing. The generator was created using measured data sets reported in the Handbook of Radar Scattering Statistics for Terrain covering L, C, S, X, Ka, Ku, and W frequency bands; HH, HV, and VV polarizations; and soil and rock, shrub, tree, short vegetation, grass, dry snow, wet snow, road surface, and urban area terrain types. The first two statistical moments match published values precisely, and a Chi-Square histogram test failed to reject the generator at a 95% confidence level for the 146 terrain models implemented. A Sea State model provides the grazing angle extension for predictions beyond the available measurements. This work will contain a comprehensive set of plots of mean and standard deviation versus incidence angle.

Paper Details

Date Published: 25 May 2005
PDF: 11 pages
Proc. SPIE 5811, Targets and Backgrounds XI: Characterization and Representation, (25 May 2005); doi: 10.1117/12.607734
Show Author Affiliations
Kelce Wilson, Air Force Research Lab. (United States)
Dale Patrick, Aeronautical Systems/XREI (United States)
James Blair, Aeronautical Systems/XREI (United States)

Published in SPIE Proceedings Vol. 5811:
Targets and Backgrounds XI: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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