DocumentCode
1162423
Title
Migration based SAR imaging for ground penetrating radar systems
Author
Gu, K. ; Wang, G. ; Li, J.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Volume
151
Issue
5
fYear
2004
Firstpage
317
Lastpage
325
Abstract
The authors consider migration based synthetic aperture radar (SAR) imaging of surface or shallowly buried objects using both down-looking and forward-looking ground penetrating radar (GPR). The well known migration approaches devised to image the interior of the Earth are based on wave equations and have been widely and successfully used in seismic signal processing for oil exploration for decades. They have the potential to image underground objects buried in complicated propagation media. Compared to ray-tracing based SAR imaging methods, migration based SAR imaging approaches are more suited to imaging underground objects owing to their simple and direct treatment of oblique incidence at the air-ground interface and propagation velocity variation in the soil. The authors apply the phase-shift migration approach to both constant-offset and common-shot experimental data collected by PSI GPR systems. They address the spatial aliasing problems related to the application of migration to the GPR data and the spatial zero-padding approach to circumvent the problem successfully.
Keywords
buried object detection; ground penetrating radar; radar detection; radar imaging; synthetic aperture radar; Earth interior; SAR imaging migration; air-ground interface; down-looking-forward-looking ground penetrating radar; image underground buried object; oblique incidence; oil exploration; phase-shift migration; propagation media; propagation velocity soil variation; seismic signal processing; spatial aliasing problem; spatial zero-padding approach; surface shallowly buried object; synthetic aperture radar imaging; wave equation;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:20040973
Filename
1356825
Link To Document