Using Self-organizing Map for Road Network Extraction from Ikonos Imagery
نویسندگان
چکیده
Automated road information extraction enables the ready creation, maintenance, and update of the transportation network databases used for traffic management and automated vehicle navigation. This paper presents a semi-automatic method for road network extraction from high-resolution satellite images. First, we focus on detecting the seed points in candidate road regions using a Kohonen-type self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) with high-resolution satellite images is presented in this paper. Experimental results verified the effectiveness and efficiency of this approach.
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