William D. Aimonetti
Lawrence Livermore National Laboratory
6 Papers
47 Citations
William D. Aimonetti is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Feature extraction & Image processing. The author has an hindex of 4, co-authored 6 publications.
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Papers
Multispectral image feature selection for land mine detection
TL;DR: The authors' system uses a camera that acquires registered images in six spectral bands and a supervised-learning algorithm to detect metal and plastic land mines and shows good detection performance and holds promise for future work with larger data sets.
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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,D. J. Fields,William D. Aimonetti,Paul G. Lucey,Jeannie Johnson,Keith Horton,Tim J. Williams,Alan D. Stocker,Ara Oshagan,A. Trent DePersia,Craig J. Sayre +14 more
TL;DR: In this article, 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, and potential spectral observables for detection of buried mines in the thermal portion of the infrared were found through these measurements.
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Patent
False alarm recognition in hyperspectral gas plume identification
James L. Conger,Janice K. Lawson,William D. Aimonetti +2 more
- 01 Jul 2009
TL;DR: In this article, a method for analyzing hyperspectral data includes collecting the first hypersensor data during a no-gas period, and then analyzing the data using one or more gas plume detection logics to determine if any gas is present.
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Ground-penetrating radar for buried mine detection
Paul D. Sargis,F. Dean Lee,E. S. Fulkerson,Billy J. McKinley,William D. Aimonetti +4 more
- 22 Jul 1994
TL;DR: In this paper, an ultra-wideband, side-looking, ground penetrating impulse radar system that can be mounted on an airborne platform for the purpose of locating buried mines is described.
Land mine detection using multispectral image fusion
G.A. Clark,Sailes K. Sengupta,William D. Aimonetti,Frank Roeske,J.G. Donetti,D.J. Fields,Robert J. Sherwood,P.C. Schaich +7 more
- 29 Mar 1995
TL;DR: This work fuses information contained in registered images from multiple sensors to reduce the effects of clutter and improve the ability to detect surface and buried land mines, and evaluates the usefulness of fusing feature information from multiple spectral bands.