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Proceedings Paper

Data fusion for the detection of buried land mines
Author(s): Gregory A. Clark; Sailes K. Sengupta; Paul C. Schaich; Robert J. Sherwood; Michael R. Buhl; Jose D. Hernandez; Ronald J. Kane; Marvin J. Barth; David J. Fields; Michael R. Carter
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Paper Abstract

We have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. Multiple sensors, including visible imagery, IR imagery, and ground penetrating radar, have been used to acquire data on a number of buried mines and mine surrogates. We present this data along with a discussion of our application of sensor fusion techniques for this particular detection problem. We describe our data fusion architecture and discuss the some relevant results of these classification methods.

Paper Details

Date Published: 1 February 1994
PDF: 11 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172534
Show Author Affiliations
Gregory A. Clark, Lawrence Livermore National Lab. (United States)
Sailes K. Sengupta, Lawrence Livermore National Lab. (United States)
Paul C. Schaich, Lawrence Livermore National Lab. (United States)
Robert J. Sherwood, Lawrence Livermore National Lab. (United States)
Michael R. Buhl, Lawrence Livermore National Lab. (United States)
Jose D. Hernandez, Lawrence Livermore National Lab. (United States)
Ronald J. Kane, Lawrence Livermore National Lab. (United States)
Marvin J. Barth, Lawrence Livermore National Lab. (United States)
David J. Fields, Lawrence Livermore National Lab. (United States)
Michael R. Carter, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike M.D.; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

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