Paper
22 August 2000 3D matched filter for detection of land mines using spatio-temporal thermal modeling
Magnus Lundberg, Irene Y. H. Gu
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Magnus Lundberg and Irene Y. H. Gu "3D matched filter for detection of land mines using spatio-temporal thermal modeling", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396245
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Mining

Land mines

3D modeling

Sensors

Thermal modeling

Autoregressive models

Infrared imaging

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