Extracting straight road structure in urban environments using IKONOS satellite imagery

We discuss a fully automatic technique for extracting roads in urban environments. The method has its bases in a vegetation mask derived from multispectral IKONOS data and in texture derived from pan- chromatic IKONOS data. These two techniques together are used to distinguish road pixels. We then move from individual pixels to an object- based representation that allows reasoning on a higher level. Recogni- tion of individual segments and intersections and the relationships among them are used to determine underlying road structure and to then logically hypothesize the existence of additional road network compo- nents. We show results on an image of San Diego, California. The object-based processing component may be adapted to utilize other ba- sis techniques as well, and could be used to build a road network in any

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