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Proceedings Paper

Ground-penetrating radar signal processing for the detection of buried objects
Author(s): Mitchell Walters; Ephrahim Garcia
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Paper Abstract

In this work the singular value decomposition (SVD) is used to analyze matrices of ground penetrating radar (GPR) data. The targets to be detected are Russian PMN antipersonnel landmines and improvised explosive devices constructed from 155mm artillery shells. Target responses are simulated with GPRmax 2D, a simulation package based on the Finite- Difference-Time-Domain method. First, the utility of the SVD for image enhancement and reconstruction is demonstrated. Then the singular values and singular vectors of the decomposed matrices are analyzed with the goal of finding properties that will aid in the development of automated underground detection algorithms.

Paper Details

Date Published: 23 May 2011
PDF: 8 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171O (23 May 2011); doi: 10.1117/12.884121
Show Author Affiliations
Mitchell Walters, Cornell Univ. (United States)
Ephrahim Garcia, Cornell Univ. (United States)

Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway Jr.; J. Thomas Broach, Editor(s)

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