DocumentCode
2636124
Title
Use of wavelets for ground-penetrating radar signal analysis and multisensor fusion in the frame of land mine detection
Author
Perrin, Stéphane ; Bibaut, Alain ; Duflos, Emmanuel ; Vanheeghe, Philippe
Author_Institution
Dept. Signaux et Syst., Inst. Superieur d´´Electron. du Nord, Lille, France
Volume
4
fYear
2000
fDate
2000
Firstpage
2940
Abstract
In the frame of humanitarian land mine detection, a feature extraction method from ground penetrating radar (GPR) signals is presented. Based on the use of wavelets, this method should allow one to obtain a weighted decision for the GPR sensor and improvements in detection and false alarm rejection. A multisensor fusion principle with the weighted decision from the metal detector sensor is then presented
Keywords
buried object detection; feature extraction; radar detection; radar signal processing; sensor fusion; wavelet transforms; feature extraction method; ground-penetrating radar signal analysis; humanitarian land mine detection; metal detector sensor; multisensor fusion; wavelets; weighted decision; Detectors; Feature extraction; Ground penetrating radar; Landmine detection; Multisensor systems; Radar antennas; Radar detection; Sensor fusion; Signal analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.884447
Filename
884447
Link To Document