Title :
Tunnel detection using Underground-Focusing spotlight SAR and rough surface estimation
Author :
Gonzalez-Valdes, Borja ; Quivira, Fernando ; Martinez-Lorenzo, Jose A. ; Rappaport, Carey M.
Author_Institution :
Gordon CenSSIS / ALERT Center of Excellence, Northeastern Univ., Boston, MA, USA
Abstract :
Detection and imaging of tunnels in any given region of ground are possible because the air that fills them is materially different from anything else underground, but challenging because of the unknown variation of the ground surface and volumetric inhomogeneities. This work presents a new implementation of the Spotlight Synthetic Aperture Radar coupled with Underground Focusing (UF-SL-SAR) algorithm based on the estimation of the rough surface and the use of the full wave Method of Moments (MoM) for the spot focusing. It is demonstrated that this method is able to attenuate the rough soil effect and improve the tunnel detection.
Keywords :
method of moments; radar detection; radar imaging; rough surfaces; soil; synthetic aperture radar; tunnels; MoM; UF-SL-SAR algorithm; ground surface inhomogeneities; method of moments; rough surface estimation; spotlight synthetic aperture radar; tunnel detection; underground focusing algorithm; underground-focusing spotlight SAR; volumetric inhomogeneities; Focusing; Moment methods; Rough surfaces; Soil; Surface roughness; Surface waves; Synthetic aperture radar;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6348543
