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ROAD UPDATING FROM HIGH RESOLUTION AERIAL IMAGERY USING ROAD INTERSECTION MODEL

We propose an intersection model and strategy for road extraction from aerial image. Proposed approach is able to detect typical intersections such as cross road, T-junction and Y-junction based on the model matching to the image features. The road network is constructed by connecting the detected intersections. The connecting hypothesis is generated and validated using the road tracking method and the road shape including the width is refined using the ribbon snakes. We show the feasibility of our approach by presenting results at the suburban area, and evaluating them comparing to the existing digital road map.