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D RECONSTRUCTION OF TOPOGRAPHIC OBJECTS AT THE UNIVERSITY OF MASSACHUSETTS

The goal of interpreting and reconstructing a scene from multiple aerial images requires use of many techniques from photogrammetry, image processing and artificial intelligence. Indeed, the domain includes many of the outstanding problems within the three fields. At the University of Massachusetts Computer Vision Laboratory, we are concerned with developing specific algorithms for automatic or semi-automatic scene reconstruction from aerial images. Although many of these research efforts have proven at least partially successful on their own, our view is that higher degrees of generality and robustness can be achieved only by fusing individual algorithms into larger systems. This paper highlights several of the more successful components that have been developed as part of this effort and discusses how we intend to combine them into a system. We argue that the use of knowledge and intelligent control allows algorithms to be applied in their specific application domain, and fused into a complete topographic modeling system.