期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B3
页码：815-819
出版社：Copernicus Publications
摘要：In this paper we present a novel technique for automatic detection of road junctions in VHR satellite images. The detection is based on an initially detected road network using a differential ridge detector. This is a standard technique for road detection. However, the performance of the ridge detector degrades in the vicinity of junctions because the line model on which it is based does not hold anymore. We analyze the content and quality of the derived information layers of the ridge detector and show which information is useful for the detection of junctions. The detected network is improved using a region growing and thinning strategy. Junctions are detected based on this network using a shape analysis. This analysis puts restrictions on the appearance of junctions and allows for an efficient filtering of false alarms. Experimental results performed on IKONOS images over the city of Ghent show a reasonable detection rate with a very low false alarm rate can be achieved. This low false alarm rate is important for our purpose of quality assessment as it requires reliable image information to make a robust comparison with the road database
