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Proceedings Paper

Grammatical approach to mine detection
Author(s): Christopher S. Raphael; Stuart Geman
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Paper Abstract

We demonstrate a three stage procedure for mine detection. The first phase locates plausible candidates through a series of hypothesis tests. The second state finds the globally optimal convex set containing each candidate using 'course-to-fine' dynamic programming. The third stage refines the mine shape estimates using the knowledge contained in a mine-shape library.

Paper Details

Date Published: 22 July 1997
PDF: 17 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280874
Show Author Affiliations
Christopher S. Raphael, Univ. of Massachusetts/Amherst (United States)
Stuart Geman, Brown Univ. (United States)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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