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Proceedings Paper

3D matched filter for detection of land mines using spatio-temporal thermal modeling
Author(s): Magnus Lundberg; Irene Y. H. Gu
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Paper Abstract

Shallowly buried object sand the background soil have different specific heat and heat conductivity. Thus, the thermal alternation over day and night produces a thermal contrast on the soil surface that can be detected by an IR sensor. We present a simple model for the spatio-temporal temperature signature of a buried land mine by means of a 3D Gaussian function. Such a mode is appropriate since both measured data and simulations based on the finite element method show a spatio-temporal behavior that strongly resembles a 3D Gaussian shape. An advantage of modeling the signature as a Gaussian shape is that objects with approximately the same size but with different physical properties can be obtained simply from a scaled version of the original model.

Paper Details

Date Published: 22 August 2000
PDF: 10 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396245
Show Author Affiliations
Magnus Lundberg, Chalmers Univ. of Technology (Sweden)
Irene Y. H. Gu, Chalmers Univ. of Technology (Sweden)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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