Paper
10 May 2012 Evaluation and improvement of spectral features for the detection of buried explosive hazards using forward-looking ground-penetrating radar
Justin Farrell, Timothy C. Havens, K. C. Ho, James M. Keller, Tuan T. Ton, David C. Wong, Mehrdad Soumekh
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Justin Farrell, Timothy C. Havens, K. C. Ho, James M. Keller, Tuan T. Ton, David C. Wong, and Mehrdad Soumekh "Evaluation and improvement of spectral features for the detection of buried explosive hazards using forward-looking ground-penetrating radar", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571C (10 May 2012); https://doi.org/10.1117/12.918779
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Cited by 7 scholarly publications.
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KEYWORDS
Explosives

Metals

Target detection

Explosives detection

Feature extraction

Image filtering

Radar

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