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Proceedings Paper

Evaluation and improvement of spectral features for the detection of buried explosive hazards using forward-looking ground-penetrating radar
Author(s): Justin Farrell; Timothy C. Havens; K. C. Ho; James M. Keller; Tuan T. Ton; David C. Wong; Mehrdad Soumekh
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Paper Abstract

We provide an evaluation of spectral features extracted from the signal return of a forward-looking ground penetrating radar to improve the detection performance of buried explosive hazards. The evaluations are performed on data collected at two different lanes at a government test site. The performance of the one-dimensional (1D), two-dimensional (2D) and multiple (ML) spectral features will be contrasted through lane-based cross-validation for training and testing. Additional features to characterize the spectral behaviors of the forward-looking radar return will also be examined.

Paper Details

Date Published: 10 May 2012
PDF: 11 pages
Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571C (10 May 2012); doi: 10.1117/12.918779
Show Author Affiliations
Justin Farrell, Univ. of Missouri-Columbia (United States)
Timothy C. Havens, Univ. of Missouri-Columbia (United States)
K. C. Ho, Univ. of Missouri-Columbia (United States)
James M. Keller, Univ. of Missouri-Columbia (United States)
Tuan T. Ton, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
David C. Wong, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Mehrdad Soumekh, Univ. of New York at Buffalo (United States)


Published in SPIE Proceedings Vol. 8357:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
J. Thomas Broach; John H. Holloway Jr., Editor(s)

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