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Proceedings Paper

Joint spectral region buried land mine discrimination performance
Author(s): Arthur C. Kenton; William A. Malila; Linnea S. Nooden; Vince E. Diehl; Kurt Montavon
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Paper Abstract

Statistically significant sets of buried anti-tank mine and background electro-optic spectral signatures were collected and analyzed by the Veridian ERIM International team under the US Army's Night Vision and Electronic Sensors Directorate Hyperspectral Mine Detection Phenomenology FY98/99 Program as reported last year. Those analyses established predicted buried mine spectral discrimination performance in key practical sensor spectral regions using typical multispectral sensor bandwidths spanning 20 to 200 nm. This year, we report further analyses of selected sets of HMDP data that quantitatively predict performance for two specific cases of joint spectral regions. This work exhibits these initial results and compares the predicted buried mine spectral discrimination performance determined from the joint and the single spectral regions.

Paper Details

Date Published: 22 August 2000
PDF: 10 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396247
Show Author Affiliations
Arthur C. Kenton, Veridian ERIM International, Inc. (United States)
William A. Malila, Veridian ERIM International, Inc. (United States)
Linnea S. Nooden, Veridian ERIM International, Inc. (United States)
Vince E. Diehl, Veridian ERIM International, Inc. (United States)
Kurt Montavon, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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