A group of algorithms of increasing complexity for the processing of bi-static fixed-offset Ground Penetrating Radar (GPR) data is considered, ranging from a simple Synthetic Aperture Radar (SAR) imaging to linearized effective and full-scale inversion. We consider only two-dimensional algorithms and discuss their applicability to real-life three-dimensional objects. A multi-stage interactive algorithm is proposed, which utilizes a filtered SAR-type imaging routine and a linearized inversion on a rough non-equispaced interactively constructed grid. The algorithm is tested on the experimental data obtained by the third party.
In this paper the nonlinear iterative algorithm, the so-called Extended Contrast Source Inversion is applied to subsurface sensing problem where the number of measured data are very limited and the unknown objects/layers are illuminated from only one side. Some numerical results obtained from synthetic and real data are presented to illustrate the strengths and the weakness of the method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.