Extremal methods in mine detection and classification

M. Ross Leadbetter

doi:10.1117/12.211363

20 June 1995 Extremal methods in mine detection and classification

M. Ross Leadbetter

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211363
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper concerns general statistical properties of mine detection systems utilizing high (e.g. acoustic) returns in the presence of reverberation, modeled as a (background) random field. Recently developed extensions of the 1D theory of high level stochastic excursions are used to describe the occurrences of high peaks of a 2D background reverberation field by a (theoretically justified) Poisson model. This model and its further refinements are then used in discussing false alarm, detection, and classification probabilites.

Citation Download Citation

M. Ross Leadbetter "Extremal methods in mine detection and classification", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211363

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