DocumentCode :
2228452
Title :
Inversion of soil´s and immersed objects´s electromagnetic parameters symultaneously
Author :
Kakulia, D. ; Tavzarashvili, K. ; Chelidze, G. ; Shubitidze, F.
Author_Institution :
Tbilisi State Univ., Tbilisi, Georgia
fYear :
2009
fDate :
21-24 Sept. 2009
Firstpage :
232
Lastpage :
235
Abstract :
This paper presents results of numerical simulation and algorithm of simultaneous inversion of soil´s and immersed object´s electromagnetic parameters. Inversion is performed from data of electromagnetic induction (EMI) sensing, when all other geometric parameters of the problem are known. Discrimination procedure of subsurface objects such as landmines and unexploded ordnances (UXO) accomplishes higher accuracy when mentioned parameters are determined a priori. A specially, when interaction effects between object its surrounding media is significant and there is no exact information about materials of UXO produced in different time. Combining Method of Auxiliary Sources (MAS) with Gauss-Newton minimization algorithm, we developed optimization methodology that simultaneously inverts for the EM parameters of both the object and the surrounding medium.
Keywords :
Gaussian processes; Newton method; buried object detection; electromagnetic induction; geophysical techniques; magnetic sensors; soil; EMI sensing; Gauss-Newton minimization algorithm; buried metallic object detection; electromagnetic induction; immersed object electromagnetic parameter; method-of-auxiliary sources; numerical simulation; optimization methodology; soil inversion; unexploded ordnances; Electromagnetic induction; Electromagnetic interference; Landmine detection; Least squares methods; Minimization methods; Newton method; Numerical simulation; Optimization methods; Recursive estimation; Soil;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, 2009. DIPED 2009. International Seminar/Workshop on
Conference_Location :
Lviv
Print_ISBN :
978-1-4244-4201-0
Type :
conf
DOI :
10.1109/DIPED.2009.5307273
Filename :
5307273
Link To Document :
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