Region Processing of Ground Penetrating Radar and Electromagnetic Induction for Handheld Landmine Detection
An analysis of the utility of region-based processing of Ground Penetrating Radar (GPR) and Electromagnetic Induction (EMI) is presented. Algorithms for re-sampling GPR data acquired over non-rectangular and non-regular grids are presented. Depth-dependent whitening is used to form GPR images as functions of depth bins. Shape, size, and contrast-based features are used to distinguish mines from non-mines. The processing is compared to point-wise processing of the same data. Comparisons are made to GPR data collected by machine and by humans. Evaluations are performed on calibration data, for which the ground truth is known to the algorithm developers, and blind data, for which the ground truth is not known to the algorithm developers.
J. N. Wilson et al., "Region Processing of Ground Penetrating Radar and Electromagnetic Induction for Handheld Landmine Detection," Proceedings of SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX (2004, Orlando, FL), vol. 5415, no. PART 2, pp. 933-944, SPIE -- The International Society for Optical Engineering, Apr 2004.
The definitive version is available at http://dx.doi.org/10.1117/12.544323
SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX (2004: Apr., 12, Orlando FL)
Electrical and Computer Engineering
Keywords and Phrases
Data Collection; Discrimination Techniques; Electromagnetic Induction; Landmine Detection; Algorithms; Calibration; Data Processing; Electromagnetic Waves; Mobile Robots; Nonbibliographic Retrieval Systems; Ground Penetrating Radar Systems
International Standard Serial Number (ISSN)
Article - Conference proceedings
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