Use of wavelets for ground-penetrating radar signal analysis and multisensor fusion in the frame of land mine detection

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.

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