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Proceedings Paper

Application of the LMC algorithm to anomaly detection using the Wichmann/NIITEK ground-penetrating radar
Author(s): Peter A. Torrione; Leslie M. Collins; Fred Clodfelter; Shane Frasier; Ian Starnes
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Paper Abstract

This paper describes the application of a 2-dimensional (2-D) lattice LMS algorithm for anomaly detection using the Wichmann/Niitek ground penetrating radar (GPR) system. Sets of 3-dimensional (3-D) data are collected from the GPR system and these are processed in separate 2-D slices. Those 2-D slices that are spatially correlated in depth are combined into separate “depth segments” and these are processed independently. When target/no target declarations need to be made, the individual depth segments are combined to yield a 2-D confidence map. The 2-D confidence map is then thresholded and alarms are placed at the centroids of the remaining 8-connected data points. Calibration lane results are presented for data collected over several soil types under several weather conditions. Results show a false alarm rate improvement of at least an order of magnitude over other GPR systems, as well as significant improvement over other adaptive algorithms operating on the same data.

Paper Details

Date Published: 11 September 2003
PDF: 10 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.487241
Show Author Affiliations
Peter A. Torrione, Duke Univ. (United States)
Leslie M. Collins, Duke Univ. (United States)
Fred Clodfelter, NIITEK Inc. (United States)
Shane Frasier, NIITEK Inc. (United States)
Ian Starnes, NIITEK Inc. (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway; J. T. Broach, Editor(s)

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