Abstract
The extraction of linear elements from remotely sensed imagery is a quite complex process. The extraction, for example, of the road network requires also its recognition which is not an easy operation, because road segments are not represented by a constant range of digital numbers in the input images, the shapes of the roads are illdefined, and pixels with the same digital number often represent land cover types which are not related to roads. That happens because in remotely sensed images, certain types of land cover, e.g. buildings, have similar spectral characteristics with roads and, thus, are indistinguishable, at a pre-processing stage, from the roads.
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© 1999 Springer Science+Business Media Dordrecht
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Karathanassi, V., Iossifidis, C., Rokos, D. (1999). A Thinning-Based Method for Extracting Peri-Urban Road Network from Panchromatic Images. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_37
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DOI: https://doi.org/10.1007/978-94-011-4840-5_37
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