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Research Abstracts Online
January 2008 - March 2009

University of Minnesota Twin Cities
Institute of Technology
Department of Civil Engineering
St. Anthony Falls Laboratory

PI: Efi Foufoula-Georgiou, Fellow
Co-PI: Guillermo Sapiro

Development of Advanced Computational Tools for the Automatic Extraction of Geomorphic Features From High-resolution Elevation Data

The purpose of this research is to develop new advanced computational tools for the automatic extraction of channels and other geomorphic features of interest from high-resolution digital elevation data. The researchers are developing a new formalism consisting of a localized geometric nonlinear filtering operation and the formulation of the features extraction problem as a geodesic energy minimization problem. This research is anticipated to make important contributions to the development of automatic and efficient features extraction tools.

Group Members

Bidroha Basu, Graduate Student
Sukanta Basu, Graduate Student
Mohammad Ebtehaj, Graduate Student
Chandana Gangodagamage, Graduate Student
Vamsi Ganti, Graduate Student
Deborah Nykanen, Department of Mechanical and Civil Engineering, Minnesota State University, Mankato, Minnesota
Paola Passalaqua, Graduate Student
Arvind Kumar Singh, Graduate Student
Venugopal Vuruputur, Indian Institute of Science, Bangalore, India