Share Email Print

Proceedings Paper

Littoral assessment of mine burial signatures (LAMBS): buried-landmine hyperspectral data collections
Author(s): Arthur C. Kenton; Duane M. Geci; James A. McDonald; Kristofer J. Ray; Clayton M. Thomas; John H. Holloway Jr.; Danny A. Petee; Ned H. Witherspoon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The objective of the Office of Naval Research (ONR) Rapid Overt Reconnaissance (ROR) program and the Airborne Littoral Reconnaissance Technologies project's Littoral Assessment of Mine Burial Signatures (LAMBS) contract is to determine if electro-optical spectral discriminants exist that are useful for the detection of land mines located in littoral regions. Statistically significant buried mine overburden and background signature data were collected over a wide spectral range (0.35 to 14 μm) to identify robust spectral features that might serve as discriminants for new airborne sensor concepts. The LAMBS program further expands the hyperspectral database previously collected and analyzed on the U.S. Army's Hyperspectral Mine Detection Phenomenology program [see "Detection of Land Mines with Hyperspectral Data," and "Hyperspectral Mine Detection Phenomenology Program," Proc. SPIE Vol. 3710, pp 917-928 and 819-829, AeroSense April 1999] to littoral areas where tidal, surf, and wind action can additionally modify spectral signatures. This work summarizes the LAMBS buried mine collections conducted at three beach sites - an inland bay beach site (Eglin AFB, FL, Site A-22), an Atlantic beach site (Duck, NC), and a Gulf beach site (Eglin AFB, FL, Site A-15). Characteristics of the spectral signatures of the various dry and damp beach sands are presented. These are then compared to buried land mine signatures observed for the tested background types, burial ages, and environmental conditions experienced.

Paper Details

Date Published: 11 September 2003
PDF: 11 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.499377
Show Author Affiliations
Arthur C. Kenton, Veridian Systems (United States)
Duane M. Geci, Veridian Systems (United States)
James A. McDonald, Veridian Systems (United States)
Kristofer J. Ray, Veridian Systems (United States)
Clayton M. Thomas, Veridian Systems (United States)
John H. Holloway Jr., Naval Surface Warfare Ctr. (United States)
Danny A. Petee, Naval Surface Warfare Ctr. (United States)
Ned H. Witherspoon, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway Jr.; J. T. Broach, Editor(s)

© SPIE. Terms of Use
Back to Top