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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884447
