SAR imaging of buried objects from MoM modelled scattered field

Author

Wang, Y. ; Longstaff, I.D. ; Leat, C.J.

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia

Volume

148

Issue

3

fYear

2001

fDate

6/1/2001 12:00:00 AM

Firstpage

167

Lastpage

172

Abstract

Synthetic aperture radar (SAR) images of resonant buried objects are modelled in the presence of ground surface clutter. The method of moments (MoM) is used to model scattered fields from a resonant buried conductor and clutter is modelled as a bivariant Gaussian distribution. A diffraction stack SAR imaging technique is applied to the ultra-wideband waveforms to give a bipolar signal image. A number of examples have been computed to illustrate the combined effects of SAR processing with resonant targets and clutter. SAR images of different targets show differences which may facilitate target identification. To maximise the peak signal-to-clutter ratio, an image correlation technique is applied and the results are shown

Keywords

Gaussian distribution; buried object detection; correlation methods; electromagnetic wave scattering; method of moments; radar clutter; radar imaging; synthetic aperture radar; GPR; MoM; SAR imaging; UWB radar; bipolar signal image; bivariant Gaussian distribution; buried objects; diffraction stack SAR imaging technique; ground penetrating radar; ground surface clutter; image correlation technique; method of moments; peak signal-to-clutter ratio; resonant buried conductor; scattered fields modelling; target identification; ultra-wideband radar; ultra-wideband waveforms;

fLanguage

English

Journal_Title

Radar, Sonar and Navigation, IEE Proceedings -

Publisher

iet

ISSN

1350-2395

Type

jour

DOI

10.1049/ip-rsn:20010180

Filename

935005