Subsurface Imaging Group (SIG)

The Ohio State University

Columbus, Ohio

Research

Research is currently being done for two main projects that involve modeling and imaging the subsurface.  A homogeneous subsurface without layers and constant properties is the ideal situation for detecting anomalies.  In reality, the subsurface is a complex heterogeneous system with multiple layers that have different properties.  The goal is to attain the capability to detect underground anomalies in complex systems. 

NSF, ITR Medium Grant: “Adaptive Fusion of Stochastic Information for Subsurface Imaging of Fractured Vadose Zones”.

Website

Research Collaborators
Dr. Jim Yeh: http://tian.hwr.arizona.edu/yeh/
Dr. Anton Kruger: http://www.iihr.uiowa.edu/people/details.php?id=21

“Broadband EM for Imaging Subsurface Objects”:  This project is focusing on the detection of subsurface voids.  Developing software to interface with modeling code based on finite difference time domain modeling (FDTD) to model and image data.  FDTD, a grid based method, is used in our computational modeling and can handle partial differential equations such as Maxwell's Wave Equation.  We are advancing in the areas of parallel finite difference time domain (PFDTD, parallel processing on multiple processors), interfacing, and imaging.  We are working on improving interfacing with the code and producing high quality images. 

Research Collaborators
Jeff Daniels, The Ohio State University: daniels.9@osu.edu
Robert Lee, The Ohio State University: http://www.ece.osu.edu/~lee/
Chris Jekeli, The Ohio State University: jekeli.1@osu.edu
David Wright, U.S Geological Survey
Richard Nolen-Hoeksema, Earth Works, LLC
C.K. Shum, The Ohio State University: ckshum@osu.edu
Chi-Chih Chen, The Ohio State University: chen.118@osu.edu