Aerial image interpretation, remote sensing, 3D reconstruction, environmental monitoring and terrain modeling.
Dr. Schultz's research interests include quantitative methods for image understanding and remote sensing, including generating complex, three-dimensional terrain and site models from aerial images. His research has found application in a variety of environmental monitoring and ecosystem modeling research programs. Related sponsored research programs include automatic generation of cultural sites (building, roads, bridges, etc.), methods for assimilating radar and photographic images, and oceanographic studies that investigate energy transfer between atmospheric winds and ocean surface waves.
Howard Schultz received the BS and MS degrees in Physics from the University of California, Los Angeles in 1972 and 1974, and the Ph.D. degree in Physical Oceanography from the University of Michigan, Ann Arbor in 1984. He is currently a Sr. Research Fellow with the Computer Vision Laboratory at the University of Massachusetts, Amherst. Prior to joining the University of Massachusetts in 1989, he was a member of the Technical Staff at the Jet Propulsion Laboratory, Pasadena, CA and a Sr. Research Scientist for Atmospheric and Environmental Research, Cambridge MA.
Dr. Schultz is a member of the IEEE, American Geophysical Union (AGU) and the American Society of Photogrammetry and Remote Sensing (ASPRS).