Singular spectrum analysis — an effective method for GPR data processing

Author

Vassileva, Boriana ; Kabakchiev, Christo

Author_Institution

Inst. for Parallel Process., Bulgarian Acad. of Sci., Sofia

fYear

2008

fDate

21-23 May 2008

Firstpage

1

Lastpage

4

Abstract

The aim of SSA is to make a decomposition of the original series (GPR traces in the considered case) into a sum of a small number of independent and interpretable components such as: low-frequency trends, narrowband quasi-periodic signals and noise. In this paper SSA based algorithms that ldquocleanrdquo noise from the radargram and/or enhance certain characteristics of the GPR data are presented. The results show the SSA based algorithms are well suited to impulse GPR data processing. SSA method applied to data makes GPR images more acceptable for initial interpretation and data evaluation.

Keywords

ground penetrating radar; radar signal processing; spectral analysis; GPR data processing; GPR images; GPR traces; SSA based algorithms; ground penetrating radar; narrowband quasiperiodic signals; radargram; singular spectrum analysis; Cellular phones; Data processing; Discrete wavelet transforms; Ground penetrating radar; Low-frequency noise; Matrix decomposition; Narrowband; Noise reduction; Reflection; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Symposium, 2008 International

Conference_Location

Wroclaw

Print_ISBN

978-83-7207-757-8

Type

conf

DOI

10.1109/IRS.2008.4585774

Filename

4585774