DocumentCode :
1299942
Title :
Physical Limitations on Detecting Tunnels Using Underground-Focusing Spotlight Synthetic Aperture Radar
Author :
Martinez-Lorenzo, Jose Angel ; Rappaport, Carey M. ; Quivira, Fernando
Author_Institution :
Berard Gordon Center for Subsurface Sensing & Imaging Syst., Northeastern Univ., Boston, MA, USA
Volume :
49
Issue :
1
fYear :
2011
Firstpage :
65
Lastpage :
70
Abstract :
This paper examines the feasibility of underground-focusing spotlight synthetic aperture radar (UF-SL-SAR) systems for tunnel detection applications. A general formulation is reviewed for generating UF-SL-SAR imaging by using multiple frequencies across a wide band and by focusing in space to subsurface points using well-known ray refraction at the nominal ground surface. A full-wave finite-difference frequency-domain model is used to consider wave propagation in realistic soil with loss- and frequency-dependent dielectric constant and a randomly rough ground surface, both of which serve to obscure and distort the returned tunnel target signal. Imaging results are presented for two representative soil scenarios: dry sand and moist clay loam. Considering the ground surface ray refraction for focusing greatly improves the SAR image relative to conventional SAR focusing at the ground surface. Using UF-SL-SAR, a small shallow tunnel is reasonably imaged for the sand case, despite the roughness of the ground interface. However, for higher conductivity moist clay loam, the clutter from the rough surface overwhelms the significantly attenuated target signal, which must propagate through the lossy intervening soil. It is demonstrated that, despite ideal focusing, the tunnel is successfully imaged only for the sand case.
Keywords :
radar imaging; rough surfaces; synthetic aperture radar; tunnels; SAR image; UF-SL-SAR imaging; clutter; dry sand; frequency-dependent dielectric constant; full-wave finite-difference frequency-domain model; ground surface ray refraction; lossy intervening soil; moist clay loam; rough ground surface; sand case; shallow tunnel; soil scenario; tunnel detection; tunnel target signal; underground-focusing spotlight synthetic aperture radar; wave propagation; Focusing; Receiving antennas; Rough surfaces; Soil; Surface roughness; Surface waves; Rough surfaces; signal processing; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2051952
Filename :
5551193
Link To Document :
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