DocumentCode :
330214
Title :
Fuzzy fusion operator for mines detection
Author :
Duflos, Emmanuel ; Vanheeghe, Philippe ; Borne, Pierre
Author_Institution :
Dept. Signaux et Syst., Inst. Superieur d´´Electron. du Nord, Lille, France
Volume :
2
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
1156
Abstract :
Most studies dealing with mines detection emphasise sensors and processing linked to them. However, most people agree that one sensor cannot be the solution to the detection problems: a system including several sensors seems to be the solution. It implies that a data fusion function must be realized in this system. We propose in this paper the derivation of a fusion operator based on fuzzy logic. We also expose a sensitivity study of this operator with respect to several parameters as the depth or the geometry of the estimated shape of a buried detected object
Keywords :
buried object detection; fuzzy logic; sensor fusion; buried detected object; data fusion function; fuzzy logic; mines detection; Fuzzy logic; Ground penetrating radar; Infrared detectors; Infrared image sensors; Mining industry; Radar antennas; Radar detection; Receiving antennas; Sensor systems; Soil;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.727861
Filename :
727861
Link To Document :
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