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Title: Detection of buried objects by fusing dual-band infrared images

Abstract

We have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar (GPR), have been used to acquire data on a number of buried mines and mine surrogates. Because the visible wavelength and GPR data are currently incomplete. This paper focuses on the fusion of two-band infrared images. We use feature-level fusion and supervised learning with the probabilistic neural network (PNN) to evaluate detection performance. The novelty of the work lies in the application of advanced target recognition algorithms, the fusion of dual-band infrared images and evaluation of the techniques using two real data sets.

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10134642
Report Number(s):
UCRL-JC-114321; CONF-9311135-5
ON: DE94008286
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: Institute of Electrical and Electronic Engineers (IEEE) asilomar conference on signals, systems, and computers,Pacific Grove, CA (United States),1-3 Nov 1993; Other Information: PBD: Nov 1993
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; 47 OTHER INSTRUMENTATION; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; CHEMICAL EXPLOSIVES; DETECTION; INFRARED RADIATION; IMAGE PROCESSING; WEAPONS; UNDERGROUND; NEURAL NETWORKS; 450100; 440800; 350300; CHEMICAL EXPLOSIONS AND EXPLOSIVES; MISCELLANEOUS INSTRUMENTATION; VERIFICATION

Citation Formats

Clark, G.A., Sengupta, S.K., Sherwood, R.J., Buhl, M.R., Schaich, P.C., Kane, R.J., Barth, M.J., Fields, D.J., and Carter, M.R.. Detection of buried objects by fusing dual-band infrared images. United States: N. p., 1993. Web.
Clark, G.A., Sengupta, S.K., Sherwood, R.J., Buhl, M.R., Schaich, P.C., Kane, R.J., Barth, M.J., Fields, D.J., & Carter, M.R.. Detection of buried objects by fusing dual-band infrared images. United States.
Clark, G.A., Sengupta, S.K., Sherwood, R.J., Buhl, M.R., Schaich, P.C., Kane, R.J., Barth, M.J., Fields, D.J., and Carter, M.R.. Mon . "Detection of buried objects by fusing dual-band infrared images". United States. https://www.osti.gov/servlets/purl/10134642.
@article{osti_10134642,
title = {Detection of buried objects by fusing dual-band infrared images},
author = {Clark, G.A. and Sengupta, S.K. and Sherwood, R.J. and Buhl, M.R. and Schaich, P.C. and Kane, R.J. and Barth, M.J. and Fields, D.J. and Carter, M.R.},
abstractNote = {We have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar (GPR), have been used to acquire data on a number of buried mines and mine surrogates. Because the visible wavelength and GPR data are currently incomplete. This paper focuses on the fusion of two-band infrared images. We use feature-level fusion and supervised learning with the probabilistic neural network (PNN) to evaluate detection performance. The novelty of the work lies in the application of advanced target recognition algorithms, the fusion of dual-band infrared images and evaluation of the techniques using two real data sets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 01 00:00:00 EST 1993},
month = {Mon Nov 01 00:00:00 EST 1993}
}

Conference:
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