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Proceedings Paper

Toward a unifying optimal approach to mine detection problems
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Paper Abstract

Automatic mine detection has recently become a subject of great importance to U.S. Navy. A number of approaches to this problem have been suggested so far. Current algorithms however do not provide sufficiently high performance results, especially in cases where mines are embedded in clutter. A thorough and fundamental understanding of target detection and recognition techniques is needed in order to significantly enhance the capabilities of automatic detection systems. We discuss here a possible approach to this problem, based on a theoretical model for image acquisition, that allows mine detection to be formulated as an inverse problem. New and near optimal algorithms may be developed as attempts to solving this problem.

Paper Details

Date Published: 31 May 1996
PDF: 12 pages
Proc. SPIE 2765, Detection and Remediation Technologies for Mines and Minelike Targets, (31 May 1996);
Show Author Affiliations
John Ioannis Goutsias, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 2765:
Detection and Remediation Technologies for Mines and Minelike Targets
Abinash C. Dubey; Robert L. Barnard; Colin J. Lowe; John E. McFee, Editor(s)

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