Title :
Wavelet-based method for detection of shallowly buried objects from GPR data
Author :
Carevic, Dragana
Author_Institution :
Surveillance Syst. Div., DSTO, Salisbury, SA, Australia
Abstract :
A method for simultaneous clutter suppression and signal detection in ground penetrating radar (GPR) data is presented. It computes a running estimate of the background signal and detects abrupt changes from the estimated signal, assumed to correspond to the returns from a buried object, using a translation invariant (TI) wavelet packet decomposition. The detection statistic is defined as the sum of several peak energy values of the TI wavelet representation and is compared to an adaptively determined threshold. The technique performed satisfactorily when tested on a number of targets buried in several different soil environments
Keywords :
buried object detection; entropy; radar clutter; radar detection; wavelet transforms; background signal; clutter suppression; ground penetrating radar data; shallowly buried objects; soil environments; translation invariant wavelet packet decomposition; wavelet-based method; Buried object detection; Clutter; Ground penetrating radar; Object detection; Performance evaluation; Radar detection; Signal detection; Statistics; Testing; Wavelet packets;
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
DOI :
10.1109/IDC.1999.754154
