Littoral assessment of mine burial signatures (LAMBS): buried landmine/background spectral-signature analyses

Arthur C. Kenton; Duane M. Geci; Kristofer J. Ray; Clayton M. Thomas; John W. Salisbury; John C. Mars; James K. Crowley; Ned H. Witherspoon; John H. Holloway Jr.

doi:10.1117/12.542754

21 September 2004 Littoral assessment of mine burial signatures (LAMBS): buried landmine/background spectral-signature analyses

Arthur C. Kenton, Duane M. Geci, Kristofer J. Ray, Clayton M. Thomas, John W. Salisbury, John C. Mars, James K. Crowley, Ned H. Witherspoon, John H. Holloway Jr.

Author Affiliations +

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.542754
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

The objective of the Office of Naval Research (ONR) Rapid Overt Reconnaissance (ROR) program and the Airborne Littoral Reconnaissance Technologies (ALRT) project's LAMBS effort is to determine if electro-optical spectral discriminants exist that are useful for the detection of land mines 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. LAMBS has expanded previously collected databases to littoral areas - primarily dry and wet sandy soils - where tidal, surf, and wind conditions can severely modify spectral signatures. At AeroSense 2003, we reported completion of three buried mine collections at an inland bay, Atlantic and Gulf of Mexico beach sites. We now report LAMBS spectral database analyses results using metrics which characterize the detection performance of general types of spectral detection algorithms. These metrics include mean contrast, spectral signal-to-clutter, covariance, information content, and spectral matched filter analyses. Detection performance of the buried land mines was analyzed with regard to burial age, background type, and environmental conditions. These analyses considered features observed due to particle size differences, surface roughness, surface moisture, and compositional differences.

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Arthur C. Kenton, Duane M. Geci, Kristofer J. Ray, Clayton M. Thomas, John W. Salisbury, John C. Mars, James K. Crowley, Ned H. Witherspoon, and John H. Holloway Jr. "Littoral assessment of mine burial signatures (LAMBS): buried landmine/background spectral-signature analyses", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.542754

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KEYWORDS

Mining

Soil science

Particles

Reflectivity

Virtual colonoscopy

Land mines

Short wave infrared radiation

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