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Proceedings Paper

Detection of minefields using IR sensing and time-domain treatment method
Author(s): P. Pregowski; W. Swiderski
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Paper Abstract

This paper presents findings based on the IR thermography testing of the solar heated, quasi-natural fields with four anti-tank miens, buried at various depths. Experiment has been carried out last year in different seasons, weather, time and terrain conditions. This baseline data was collected for predicative needs based on modeling and to determine the level of time-dependent adaptability required in the detection algorithms suite. In a single and raw thermogram it was possible to identify mine with a naked eye only in very carefully chosen, rather rare, circumstances. We stated that there is an interesting 'new' kind of IR signatures of mines 'their dynamic phenomena in time'. The obtained contrasts were often similar level as the ones obtained in industrial thermal nondestructive testing, based on the time-domain treatment method. Results show that distinguishing the mines based on time sequence of the IR images is more reliable than on single thermogram, despite the fact that used procedure is much more complicated. Time- domain treatment method based on IR thermography seems to be the potential for further improvement of the localization of the buried mines especially when covered by grass and the like. At present state of the IRT, RPV and GPS technologies, the same as increasing of the signal processing possibilities, technical realization of such idea can be taken into consideration.

Paper Details

Date Published: 22 July 1997
PDF: 10 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280908
Show Author Affiliations
P. Pregowski, Pregowski InfraRed Services (Poland)
W. Swiderski, Military Institute of Armament Technology (Poland)

Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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