Paper
1 August 2003 Detection of perturbations in thermal IR signatures: an inverse problem for buried land mine detection
Paula Lopez, Hichem Sahli, D. L. Vilarino, Diego Cabello
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Abstract
The analysis of pertrubations on the thermal signature of the soil is a powerful tool for the detection of the presence of buried objects on the soil from measured infrared images but, by itself, gives litle insight in the nature of the detected targets. In this paper, we will present a method for the detection of surface and shallowly buried land mines in infrared images based on a 3D thermal model of the soil. This model will be used to detect perturbations on the expected behavior that will lead to the assumption of the presence of unknown buried objects. Next, we will outline a procedure that makes use of the theory on inverse problems in order to extract information of the natuer of the detected targets and to infer whether they actually correspond to land mines or not.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paula Lopez, Hichem Sahli, D. L. Vilarino, and Diego Cabello "Detection of perturbations in thermal IR signatures: an inverse problem for buried land mine detection", Proc. SPIE 5046, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II, (1 August 2003); https://doi.org/10.1117/12.484304
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Mining

Land mines

Target detection

Soil science

3D modeling

Thermal modeling

Inverse problems

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