Extraction of Road Centrelines and Edge Lines from High-Resolution Satellite Imagery using Density-Oriented Fuzzy C-Means and Mathematical Morphology
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/s12524-022-01507-w.pdf
Reference56 articles.
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3. AlFugara, A. M., Pradhan, B., & Mohamed, T. A. (2009). Improvement of land-use classification using object-oriented and fuzzy logic approach. Applied Geomatics, 1(4), 111–120. https://doi.org/10.1007/s12518-009-0011-3
4. Bakhtiari, H. R., Abdollahi, A., & Rezaeian, H. (2017). Semi-automatic road extraction from digital images. The Egyptian Journal of Remote Sensing and Space Science, 20(1), 117–123. https://doi.org/10.1016/j.ejrs.2017.03.001
5. Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S., Madden, S. & DeWitt, D. (2018). Roadtracer: Automatic extraction of road networks from aerial images. In 2018 IEEE/CVF conference on computer vision and pattern recognition, 18–23 June 2018, Salt Lake City, UT, USA (pp. 4720–4728).
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