Dr. Chunsun Zhang of SDSU is a photogrammetry scientist with a research specialization in automated mapping and feature extraction from remotely sensed imagery. Dr. Zhang's research is focused on the development of improved models, algorithms and computatoinal systems for image matching. Such capabilities allow for improved approaches to automated mapping, change detection and geodatabase updating. His research also involves sensor calibration, sensor orientation modelling, 3D surface analysis and interpretation, and multi-source data fusion, which are necessary to support meteric feature extraction. Dr. Zhang has worked on automated reconstruction of topographic objects from aerial images using vectorized map information, funded by the Swiss Federal Office of Topography, and developed an operational stand-alone software for 3D road database updating. He is currently working on developing improved algorithms for geoinformation extraction from high resolution satellite imagery on a project funded by the Cooperative Research Center for Spatial Information in Australia. He has B.S. and M.S. degrees in Survey Engineering from Liaoning Tetchnical University, China, and a Ph.D. in Photogrammetry and Remote Sensing from the Swiss Federal Institute of Technology, Zurich.

Fig. 1. Example of automated feature extraction of road networks using airborne imagery in Switzerland. Yellow lines represent incorrect delineation of roads from archival dataabase, magenta lines represent improved road locations from automated feature extraction method.
Fig. 2. Example of digital terrain model derived in automated fashion from image stereo pairs for an area in Australia.