Detection of Roads and Linear Structures in Low-Resolution Aerial Imagery Using a Multisourced Knowledge Integration Technique
by Fischler, M. A., Tenenbaum, J. M., Wolf, H. C.
Technical Note 200
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave., Menlo Park, CA 94025
Note: October 1979, Revised December 1979
This paper describes a computer-based approach to the problem of detecting and precisely delineating roads, and similar line-like structures, appearing in low-resolution aerial imagery. The approach is based on a new paradigm for combining local information from multiple, and possibly incommensurate, sources, including various line and edge detection operators, map knowledge about the likely path of roads through an image, and generic knowledge about roads (e.g., connectivity, curvature, and width constraints). The final interpretation of the scene is achieved by using either a graph search or dynamic programming technique to optimize a global figure of merit. Implementation details and experimental results are included.
|Fischler, Martin A||Principal Scientist|