Road Centerline Extraction From VHR Images Using SVM and Multi-Scale Maximum Response Filter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-021-01329-2.pdf
Reference37 articles.
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2. Amini, J. (2009). Road extraction from satellite images using a fuzzy-snake model. Cartographic Journal. Taylor & Francis, 46(2), 164–172. https://doi.org/10.1179/000870409X459923
3. Anil, P. N., & Natarajan, S. (2013). Road extraction using topological derivative and mathematical morphology. Journal of the Indian Society of Remote Sensing., 41(3), 719–724. https://doi.org/10.1007/s12524-012-0231-6
4. Cheng, G., et al. (2016). Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting. Neurocomputing., 205, 407–420. https://doi.org/10.1016/j.neucom.2016.04.026
5. Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine learning, 20(3), 273–297.
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