Paper
22 July 1997 ASTAMIDS minefield detection performance at Aberdeen Proving Ground test site
George B. Maksymonko, Karin Breiter
Author Affiliations +
Abstract
The airborne standoff minefield detection systems (ASTAMIDS) is an airborne imaging system designed for deployment as a modular mission payload on an unmanned aerial vehicle and capable of detecting surface and buried anti-tank mines under all-weather, day/night conditions. Its primary mission is to support a forward maneuver unit with real time intelligence regarding the existence and extent of minefields in their operational area. The ASTAMIDS development effort currently consists of two parallel technical approaches, passive thermal IR sensor technology in one case and an active multi-channel sensor utilizing passive thermal IR coregistered with a near IR laser polarization data for the other case. The minefield detection capability of this system is a result of signal processing of image data. Due to the large quantities of data generated by an imaging sensor even at modest speeds of an unmanned aerial vehicle, manual exploitation of this data is not feasible in a real time tactical environment and therefore computer aided target feature extraction is a necessity to provide detection cues. Our development efforts over the past several years have concentrated on mine and minefield detection algorithms, the hardware necessary to execute these algorithms in real time, and the tools with which to measure detection performance.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George B. Maksymonko and Karin Breiter "ASTAMIDS minefield detection performance at Aberdeen Proving Ground test site", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280901
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Cited by 5 scholarly publications.
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KEYWORDS
Land mines

Sensors

Detection and tracking algorithms

Fourier transforms

Mining

Standoff detection

Image processing

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