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Proceedings Paper

Mine detection from multiple acoustic backscatter data
Author(s): David P. Casasent; Noppadon Kuljanyavivat
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Paper Abstract

The classification of mine-like and non-mine-like objects using acoustic backscatter data is considered. Backscatter data for 6 objects at 5 degree intervals in aspect is used. The data preprocessing is described; this includes location of the starting point of the received signals and multipath removal. Various features and classifiers are considered. Excellent performance is achieved.

Paper Details

Date Published: 4 September 1998
PDF: 12 pages
Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324209
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Noppadon Kuljanyavivat, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 3392:
Detection and Remediation Technologies for Mines and Minelike Targets III
Abinash C. Dubey; James F. Harvey; J. Thomas Broach, Editor(s)

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