Share Email Print
cover

Proceedings Paper

Performance comparison of standoff minefield detection algorithms using thermal IR image data
Author(s): George B. Maksymonko; Ngoc Le
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 2 August 1999
PDF: 12 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357107
Show Author Affiliations
George B. Maksymonko, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Ngoc Le, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

© SPIE. Terms of Use
Back to Top