Experiments to support the development of techniques for hyperspectral mine detection

Edwin M. Winter; Michael J. Schlangen; Anu P. Bowman; Michael R. Carter; Charles L. Bennett; David J. Fields; William D. Aimonetti; Paul G. Lucey; Jeannie Johnson; Keith A. Horton; Tim J. Williams; Alan D. Stocker; Ara Oshagan; A. Trent DePersia; Craig J. Sayre

doi:10.1117/12.241163

31 May 1996 Experiments to support the development of techniques for hyperspectral mine detection

Edwin M. Winter, Michael J. Schlangen, Anu P. Bowman, Michael R. Carter, Charles L. Bennett, David J. Fields, William D. Aimonetti, Paul G. Lucey, Jeannie Johnson, Keith A. Horton, Tim J. Williams, Alan D. Stocker, Ara Oshagan, A. Trent DePersia, Craig J. Sayre

Author Affiliations +

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241163
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Under the sponsorship of the DARPA Hyperspectral Mine Detection program, a series of both non-imaging and imaging experiments have been conducted to explore the physical basis of buried object detection in the visible through thermal infrared. Initially, non-imaging experiments were performed at several geographic locations. Potential spectral observables for detection of buried mines in the thermal portion of the infrared were found through these measurements. Following these measurements with point spectrometers, a series of hyperspectral imaging measurements was conducted during the summer of 1995 using the SMIFTS instrument from the University of Hawaii and the LIFTIRS instrument from Lawrence Livermore National Laboratory. The SMIFTS instrument (spatially modulated imaging Fourier transform spectrometer) acquires hyperspectral image cubes in the short-wave and mid-wave infrared and LIFTIRS (Livermore imaging Fourier transform infrared spectrometer) acquires hyperspectral image cubes in the long-wave infrared. Both instruments were optimized through calibration to maximize their signal to noise ratio and remove residual sensor pattern. The experiments were designed to both explore further the physics of disturbed soil detection in the infrared and acquire image data to support the development of detection algorithms. These experiments were supported by extensive ground truth, physical sampling and laboratory analysis. Promising detection observables have been found in the long-wave infrared portion of the spectrum. These spectral signatures have been seen in all geographical locations and are supported by geological theory. Data taken by the hyperspectral imaging sensors have been directly input to detection algorithms to demonstrate mine detection techniques. In this paper, both the non-imaging and imaging measurements made to date will be summarized.

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Edwin M. Winter, Michael J. Schlangen, Anu P. Bowman, Michael R. Carter, Charles L. Bennett, David J. Fields, William D. Aimonetti, Paul G. Lucey, Jeannie Johnson, Keith A. Horton, Tim J. Williams, Alan D. Stocker, Ara Oshagan, A. Trent DePersia, and Craig J. Sayre "Experiments to support the development of techniques for hyperspectral mine detection", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241163

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