A knowledge-based system for highway network extraction

摘要

A knowledge-based system has been set up to extract highway networks automatically from Landsat thematic mapper (TM) imagery. The system was developed using image processing algorithms and some artificial intelligence techniques. It inputs raw TM data and outputs an interpreted image clearly identifying highway and road networks. The main algorithms in the system are discussed in detail, results are presented, and features of the system are examined. Landsat TM images of study areas in Toronto, Canada, are presented by way of illustration.