Ph.D., Electrical and Computer Engineering,University of Massachusetts, Amherst, MA, 1988.
Dipl. El. Ing. ETH, Swiss Federal Institute of Technology, Zurich, Switzerland, 1981.
Matura Typus B (Languages and Humanities), Gymnasium, Solothurn, Switzerland, 1976.
Christoph C. Borel is an Associate Research Professor at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, Ohio. He has been affiliated with the Center for MASINT Studies and Research (CMSR) and the Engineering Physics Department since November 2009. He is currently working on variety of remote sensing projects involving multi- and hyper-spectral data analysis and video data. His current spectral research interests are in temperature/emissivity separation, Bi-Directional Reflectance Distribution Function (BRDF) modeling, adjoint radiosity methods to retrieve reflectance in complex environments, Fourier transform imaging, atmospheric correction of satellite imagery, scene simulation in the visible and infrared, end-to-end modeling of hyper-spectral sensors and top of atmosphere albedo of the Earth.
His current video processing research interests are in analyzing video to extract gait information and tracking vehicles in AngelFire like video data. He put together a workflow that starts with a raw video which is de-interlaced and stored as an uncompressed AVI file using the freeware VirtualDub program. Then an IDL program “TRACKMAN” developed by Dr. Borel performs a background subtraction to find a human walking, next finds the head and creates a window that follows the person. Dr. Borel created an algorithm to synthesize interferogram from thousands of data cubes of a internal combustion engine. Dr. Borel was one of 5 winners of an international contest sponsored by DigitalGlobe in 2010 on using 8-band data from the WorldView-2 satellite. He wrote a paper that generates maps of vegetative parameters based on a coupled leaf canopy model from atmospherically corrected data. Dr. Borel found a way to enhance the detection of sub-pixel targets by image restoration of the hyper-spectral cube. Dr. Borel was able recently to create hyper-spectral images of a simulated vegetation canopy and show for the first time the effects of multiple scattering at different wavelengths. For the Army Research Laboratory Dr. Borel performed a detailed analysis of a novel commercial hyper-spectral camera and wrote programs to rapidly flat-field and create calibrated and bad-pixel corrected data cubes of radiance, brightness temperature and relative emissivity.
Dr. Christoph C. Borel has over 25 years experience in remote sensing. He has worked in microwave and millimeter remote sensing, optical and infrared remote sensing and published over 90 papers with 14 papers that appeared in peer reviewed journals. He gave hundreds of talks at conferences, technical interchange meetings and internal seminars.
Selected peer reviewed publications:
More papers are available at : http:\\cborel.net