Paper
28 August 1992 Airborne minefield detection system using IR sensing
Author Affiliations +
Abstract
This paper describes the work completed by Martin Marietta in support of the U.S. Army's standoff minefield detection system, advanced technology transition demonstration. This paper discusses the high priority and urgent need for the standoff mine detection system within the Army Combat Engineers, it presents the results of the successful application of non developmental technology/hardware in an airborne mine/minefield detection system, and it discusses the significant payoff of applying advanced ATR and high speed parallel processing. The technologies discussed include the IR imager as the source of mine imagery, advanced image processing algorithms including neural nets, and a high speed parallel processor unique to Martin Marietta called GAPP (geometric arithmetic parallel processor).
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugene L. Cloud, Herbert A. Duvoisin, Michael Inderhees, Gerald C. Holst, and George B. Maksymonko "Airborne minefield detection system using IR sensing", Proc. SPIE 1693, Surveillance Technologies II, (28 August 1992); https://doi.org/10.1117/12.138085
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KEYWORDS
Land mines

Image processing

Standoff detection

Sensors

Unmanned aerial vehicles

Neural networks

Computing systems

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