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CSR's efforts in remote sensing have revolved around the development of advanced image processing algorithms which can be applied to satellite and aerial data from a variety of sensors in order to better understand changes affecting the planet. A majority of these algorithms have focused on characterizing and modeling the spectral, spatial and/or temporal features present in the data sets. By better understanding the statistical properties associated with different land cover types, efforts to classify data sets as well as to understand environmental changes that occur over time can be more successful.
Personnel
Faculty:
Melba M. Crawford, Operations ResearchKen Dunton, Marine Science Institute
Steve Nerem, Aerospace Engineering
Affiliated Faculty:
Jim Gibeaut, Bureau of Economic Geology
Roberto Gutierrez, Bureau of Economic Geology
Jay Rainey, Bureau of Economic Geology
Bill White, Bureau of Economic Geology
Alan Bovik, Electrical Engineering
Brian Evans, Electrical Engineering
Joydeep Ghosh, Electrical Engineering
Eric Pianka, Zoology
Dick Richardson, Zoology
Donald Fussell, Computer Science
Harrick Vin, Computer Science
Staff:
Amy Neuenschwander, Aerospace Engineering
Clint Slatton, Aerospace Engineering
Solar Smith, Aerospace Engineering
Graduate Students:
Heather Alexander, Marine Science
Sean Buckley, Aerospace Engineering
Kui-yu Chan, Electrical Engineering
Shailesh Kumar, Electrical Engineering
Oh-Ig Kwoun, Aerospace Engineering
Feng Pan, Mechanical Engineering
Larry Teng, Aerospace Engineering
Jessica Terlogan, Archeology
Undergraduate Students:
Brian Cain
Jennifer Cregar
Stacy Ford
Arnold Gonzales
Remote Sensing/Image Processing Courses at the University of Texas
Aerospace Engineering: Remote Sensing from Space
Electrical Engineering: Digital Image Processing
Electrical Engineering: Digital Signal Processing
Electrical Engineering: Radar Principles
Mechanical Engineering: Statistical Methods in Image Processing
Civil Engineering: GIS in Water Resources
Geology: Physical Hydrology
Geography: The Geographer's Craft
Geography: Remote Sensing of the Environment
Last Modified: Tue Aug 11, 1998
CSR/TSGC Team Web