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Proceedings Paper

Attribution of soil information associated with modeling background clutter
Author(s): George Mason; Rae Melloh
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Paper Abstract

This paper examines the attribution of data fields required to generate high resolution soil profiles for support of Computational Test Bed (CTB) used for countermine research. The countermine computational test bed is designed to realistically simulate the geo-environment to support the evaluation of sensors used to locate unexploded ordnance. The goal of the CTB is to derive expected moisture, chemical compounds, and measure heat migration over time, from which we expect to optimize sensor performance. Several tests areas were considered for the collection of soils data to populate the CTB. Collection of bulk soil properties has inherent spatial resolution limits. Novel techniques are therefore required to populate a high resolution model. This paper presents correlations between spatial variability in texture as related to hydraulic permeability and heat transfer properties of the soil. The extracted physical properties are used to exercise models providing a signature of subsurface media and support the simulation of detection by various sensors of buried and surface ordnance.

Paper Details

Date Published: 4 May 2006
PDF: 9 pages
Proc. SPIE 6239, Targets and Backgrounds XII: Characterization and Representation, 623905 (4 May 2006); doi: 10.1117/12.665701
Show Author Affiliations
George Mason, U.S. Army Engineer Research and Development Ctr. (United States)
Rae Melloh, U.S. Army Engineer Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 6239:
Targets and Backgrounds XII: Characterization and Representation
Wendell R. Watkins; Dieter Clement, Editor(s)

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