Road Detection from High and Low Resolution Satellite Images

نویسنده

  • Ruisheng Wang
چکیده

Road extraction from satellite imagery has become a heated research subjects in recent years. It is especially used in the city planning, cartography and to update previously detected roads in Geographic Information Systems (GIS) environment.In this study automated road extraction technique is applied to four different satellite images (SPOT, IKONOS, QUICKBIRD, ASTER) with different resolutions that belong to Ankara city of Turkey. The aim of this study is to find out the effect of the resolution on the automatically extracted roads. In this manner the roads are extracted from these four satellite images individually. Finally, the accuracy of generated results was tested with the GIS data layer that represents the reality.

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تاریخ انتشار 2008