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Proceedings Paper

Infrared detection of buried landmines based on texture modeling
Author(s): Magnus Lundberg; Lennart B.M. Svensson; Irene Y. H. Gu
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Paper Abstract

A parametric model for the infrared signature caused by a buried land mine is presented. Further, two ways of modeling the colored background noise, is proposed. In the first, it is assumed the noise can be approximated by an autoregressive process, while in the second, the statistics of the noise is described using recent development in texture modeling, the so called FRAME method. Given an a priori distribution of the mine parameters in combination with a trained noise distribution, a Bayesian detector is derived. Experiments indicate that significant gains in performance can be achieved as compared to the standard detector used, which correlates the infrared image with the known mine shape and thresholds the square of the output.

Paper Details

Date Published: 18 October 2001
PDF: 8 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445471
Show Author Affiliations
Magnus Lundberg, Chalmers Univ. of Technology and Swedish Defense Research Agency (Sweden)
Lennart B.M. Svensson, Chalmers Univ. of Technology (Sweden)
Irene Y. H. Gu, Chalmers Univ. of Technology (Sweden)

Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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