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Infrared detection of buried landmines based on texture modeling
Chalmers University of Technology.
Chalmers University of Technology.
2001 (English)In: Detection and Remediation Technologies for Mines and Minelike Targets VI, 2001Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2001.
Series
Proceedings of SPIE, the International Society for Optical Engineering, ISSN 0277-786X ; 4394
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-30803DOI: 10.1117/12.445471Local ID: 4bffc500-f26b-11df-8b36-000ea68e967bOAI: oai:DiVA.org:ltu-30803DiVA, id: diva2:1004032
Conference
Detection and Remediation Technologies for Mines and Minelike Targets : 16/04/2001 - 16/04/2001
Note
Upprättat; 2001; 20101117 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Lundberg, Magnus

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