DocumentCode :
3471762
Title :
Underground imaging of irregular terrains using RF Tomography
Author :
Monte, Lorenzo Lo ; Erricolo, Danilo ; Soldovieri, Francesco ; Wicks, Michael C.
Author_Institution :
Navy & Air Force Sect., Gen. Dynamics Inf. Technol., Dayton, OH, USA
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
229
Lastpage :
232
Abstract :
Detection, localization and approximate imaging of tunnels, caches, underground networks and facilities is the objective of this work. To achieve this goal, a set of transmitters and receivers are deployed arbitrarily above the area of regard. Using the principles of RF tomography, 3D images of the below-ground scene are provided. In this paper, the surveilled region is assumed to be deep and large, and its surface does not need to be flat. Due to the irregularity of the surface, a numerical Green´s function for the problem needs to be computed and inserted into the forward model of RF tomography.
Keywords :
Green´s function methods; geophysical image processing; object detection; remote sensing; tomography; 3D images; RF tomography; cache localization; numerical Green´s function; receivers; transmitters; tunnel detection; underground network imaging localization; Electromagnetic scattering; Force sensors; Green´s function methods; Layout; Military computing; Power engineering and energy; Radio frequency; Tomography; Transmitters; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
Conference_Location :
Aruba, Dutch Antilles
Print_ISBN :
978-1-4244-5179-1
Electronic_ISBN :
978-1-4244-5180-7
Type :
conf
DOI :
10.1109/CAMSAP.2009.5413292
Filename :
5413292
Link To Document :
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