Sensor Deployment in Subsurface GPR Imaging

Chapter 3 Sensor Deployment in Subsurface GPR Imaging Maria Antonia MAISTO, Maria Antonia MAISTO Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this authorAngela DELL'AVERSANO, Angela DELL'AVERSANO Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this authorAntonio CUCCARO, Antonio CUCCARO Department of Computer, Modeling, Electronic and Systems Engineering, University of Calabria, Rende, ItalySearch for more papers by this authorRaffaele SOLIMENE, Raffaele SOLIMENE Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this author Maria Antonia MAISTO, Maria Antonia MAISTO Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this authorAngela DELL'AVERSANO, Angela DELL'AVERSANO Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this authorAntonio CUCCARO, Antonio CUCCARO Department of Computer, Modeling, Electronic and Systems Engineering, University of Calabria, Rende, ItalySearch for more papers by this authorRaffaele SOLIMENE, Raffaele SOLIMENE Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Caserta, ItalySearch for more papers by this author Mohammed Serhir, Mohammed SerhirSearch for more papers by this authorDominique Lesselier, Dominique LesselierSearch for more papers by this author Book Author(s):Mohammed Serhir, Mohammed SerhirSearch for more papers by this authorDominique Lesselier, Dominique LesselierSearch for more papers by this author First published: 19 April 2024 https://doi.org/10.1002/9781394284405.ch3 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary This chapter focuses on the imaging procedure and considers subsurface ground penetrating radar imaging problems. It also focuses on determining a strategy for sensor arrangement. Subsurface imaging entails solving an electromagnetic inverse scattering problem. Linear inversion imaging is computationally effective as compared to nonlinear methods and deal with scattering scenarios, which can be very large and do not suffer from reliability problems. In order to perform the reconstruction, the linearized scattering operator can be inverted by suitably employing the adjoint operator. Indeed, these types of inversion schemes are very common in radar imaging, where depending on the particular field of research, they are addressed as migration, back-propagation, time-reversal and so on. The chapter presents further examples to show the essentially finite dimensional nature of the range of the scattering operator and provide results necessary for the sensor deployment strategy. References Ahmad , F. , Amin , M.G. , Kassam , S.A. ( 2005 ). 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