Summary
In this work a fuzzy version of the Connectivity Weighted Hough Transform (CWHT) is used to detect streets and roads in high resolution (synthetic Aperture Radar (SAR) images of urban environments. The basic idea is to define a pyramidal procedure suitable for the characterization of several types of streets having different width. In this sense a modified Hough Transform, based on results produced by fuzzy clustering techniques, is introduced to group pixels classified as possible roads in consistent straight lines.
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© 1999 Springer-Verlag Berlin · Heidelberg
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Costamagna, E., Gamba, P., Sacchi, G., Savazzi, P. (1999). Fuzzy Clustering and Pyramidal Hough Transform for Urban Features Detection in High Resolution SAR Images. In: Kanellopoulos, I., Wilkinson, G.G., Moons, T. (eds) Machine Vision and Advanced Image Processing in Remote Sensing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60105-7_27
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DOI: https://doi.org/10.1007/978-3-642-60105-7_27
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