Abstract
Road junctions are important components of a road network. Therefore, if road junctions are identified accurately, the quality of road extraction can be improved. However, they are often neglected by most methods for road extraction. This letter presents a road junction extraction method with two stages. First, global detection is performed to find the centre positions of the road junction candidates by using morphological operators. Second, the shape of a road junction is identified based on a valley-finding algorithm. The proposed method is validated by airborne synthetic aperture radar (SAR) images of 1 m resolution. The results indicate that the proposed method has a higher recognition rate than two other methods and is robust to various interferences.
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