Evaluation and Improvement of Spectral Features for the Detection of Buried Explosive Hazards Using Forward-Looking Ground-Penetrating Radar

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. Conference Name: Conf. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII Conference Date: July 23, 2012 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. Evaluation and Improvement of Spectral Features for the Detection of Buried Explosive Hazards Using Forward-Looking GroundPenetrating Radar Justin Farrell a , Timothy C. Havens a , K.C. Ho a , James M. Keller a , Tuan T. Ton b , David C. Wong b , and Mehrdad Soumekh c a Dept. of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA 65211; b U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate, Fort Belvoir, Virginia, USA 22060; c Dept. of Electrical Engineering, University of New York at Buffalo, Amherst, NY, USA 14260