Sensor Fusion Algorithms for the Detection of Land Mines
conference paper
This paper reports on selection of suitable sensor fusion techniques for use in hand carried and vehicle mounted mine detection systems for HOM-2000. Various techniques like Bayes, Dempster-Shafer, voting logic and neural networks are considered. Guidelines for selection of an appropriate fusion level are formulated. Experimental data are presented to illustrate the advantages that can be obtained through the use of sensor fusion.
TNO Identifier
95195
Publisher
SPIE
Source title
Detection and Remediation Technologies for Mines and Minelike Targets IV, 5-9 April 1999, Orlando, FL
Editor(s)
Dubey, A.C.
Harvey, J.F.
Broach, J.T.
Dugan, R.E.
Harvey, J.F.
Broach, J.T.
Dugan, R.E.
Place of publication
Bellingham, WA.
Pages
1160-1166
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