Toward a unifying optimal approach to mine detection problems

John Ioannis Goutsias

doi:10.1117/12.241222

31 May 1996 Toward a unifying optimal approach to mine detection problems

John Ioannis Goutsias

Proceedings Volume 2765, Detection and Remediation Technologies for Mines and Minelike Targets; (1996) https://doi.org/10.1117/12.241222
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

John Ioannis Goutsias "Toward a unifying optimal approach to mine detection problems", Proc. SPIE 2765, Detection and Remediation Technologies for Mines and Minelike Targets, (31 May 1996); https://doi.org/10.1117/12.241222

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