Wavelet-based method for detection of shallowly buried objects from GPR data

Author

Carevic, Dragana

Author_Institution

Surveillance Syst. Div., DSTO, Salisbury, SA, Australia

fYear

1999

fDate

1999

Firstpage

201

Lastpage

206

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Decision and Control, 1999. IDC 99. Proceedings. 1999

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-5256-4

Type

conf

DOI

10.1109/IDC.1999.754154

Filename

754154