Automatic Building Extraction from Image and LiDAR Data with Active Contour Segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
http://link.springer.com/article/10.1007/s12524-018-0871-2/fulltext.html
Reference29 articles.
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2. Acar, H., Karsli, F., Ozturk, M., & Dihkan, M. (2018). Automatic detection of building roofs from point clouds produced by the dense image matching technique. International Journal of Remote Sensing, https://doi.org/10.1080/01431161.2018.1508915 .
3. Ahmadi, S., Zoej, M. J. V., Ebadi, H., Moghaddam, H. A., & Mohammadzadeh, A. (2010). Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours. International Journal of Applied Earth Observation and Geoinformation, 12(2010), 150–157.
4. Akbulut, Z., Özdemir, S., Acar, H., Dihkan, M., & Karslı, F. (2018). Automatic extraction of building boundaries from high resolution images with active contour segmentation. International Journal of Engineering and Geosciences, 3(1), 37–42.
5. Alshehhi, R., Marpu, P. R., Woon, W. L., & Mura, M. D. (2017). Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing, 130(2017), 139–149.
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