Paper
22 July 1997 Grammatical approach to mine detection
Christopher S. Raphael, Stuart Geman
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher S. Raphael and Stuart Geman "Grammatical approach to mine detection", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280874
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Mining

Computer programming

Legal

Land mines

Detection and tracking algorithms

Algorithm development

Applied mathematics

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