Junction-aware extraction and regularization of urban road networks in high-resolution SAR images

M. Negri, P. Gamba, G. Lisini, F. Tupin
2006 IEEE Transactions on Geoscience and Remote Sensing  
A general processing framework for urban road network extraction in high-resolution synthetic aperture radar images is proposed. It is based on novel multiscale detection of street candidates, followed by optimization using a Markov random field description of the road network. The latter step, in the path of recent technical literature, is enriched by the inclusion of a priori knowledge about road junctions and the automatic choice of most of the involved parameters. Advantages over existing
more » ... ges over existing and previous extraction and optimization procedures are proved by comparison using data from different sensors and locations. Index Terms-High-resolution synthetic aperture radar (SAR), Markov random fields (MRFs), road network, urban remote sensing. He is now with the Digitec Lecco srl, 36075 Montecchio
doi:10.1109/tgrs.2006.877289 fatcat:fge2brwclrbxldydsgrivjzmkm