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8 November 2012 Junction extraction on road masks by pruned skeletons
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Abstract
This study proposes a new method to detect road junctions from existing road masks obtained from geospatial databases. Moreover, this method can be used to extract junction points from the road masks generated by automatic or semiautomatic road extraction algorithms. The algorithm is intended to lower the false detection rate by refining the input road mask. Vector space analysis of the pruned road skeleton provides a simple yet robust detection and classification strategy. Empirical results demonstrate the success of the proposed junction extraction model.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Umut Çinar, Ersin Karaman, Ekin Gedik, Uğur Halıcı, and Yasemin Yardımcı "Junction extraction on road masks by pruned skeletons", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85371C (8 November 2012); https://doi.org/10.1117/12.974336
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