DAVID MCKEOWN
Research Professor, Computer Science
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My research interests are in computer vision, remote sensing, cartography, and large-scale spatial databases. Within the Digital Mapping Laboratory we have a number of research projects each with components in image understanding and remote sensing, photogrammetry and cartography, and computer graphics.

Most recently our focus has been on a set of issues involving the rapid construction of virtual world databases for visual simulation. These databases require the integration of information from digital cartographic products, aerial and satellite imagery, and ground-based photography. They also require intelligent database compilation techniques to support maximal fidelity of the geo-spatial virtual world while using bounded, and often highly limited, visualization resources. In computer vision our research includes the automated analysis of traditional mapping photography as well as emerging multispectral and hyperspectral sensors. There is a common theme involving the fusion of information derived from multiple methods and reasoning about multiple plausible object space interpretations. There is a strong bias toward tying scene analysis 'to the ground' as a way to demonstrate and evaluate research progress.