Performance comparison of standoff minefield detection algorithms using thermal IR image data

George B. Maksymonko; Ngoc Le

doi:10.1117/12.357107

2 August 1999 Performance comparison of standoff minefield detection algorithms using thermal IR image data

George B. Maksymonko, Ngoc Le

Author Affiliations +

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357107
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

The US Army has a major interest in the development of an airborne system capable of detecting surface and buried anti-tank mines under all-weather, day/night conditions. While the hardware components are essentially an airborne reconnaissance system generating high resolution image data, it is the processing algorithm which provides the mine/minefield detection capability. During the spring and summer of 1997, flight test of several minefield detection systems were concluded at Ft. Huachuca, AZ. The systems tested represented three major technology approaches, namely passive thermal IR, active near IR laser imager for polarization based discrimination and hyperspectral. Image data generated by these sensors were recorded to tape or other media and subsequently processed using various minefield detection algorithm approaches.

Citation Download Citation

George B. Maksymonko and Ngoc Le "Performance comparison of standoff minefield detection algorithms using thermal IR image data", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.357107

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