Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classification
Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned aerial vehicle (UAV) dataset, detailed mapping of heterogeneous urban landscapes is extremely challenging because of the spectral similarity between classes. In this study, adaptive hierarchical image segmentation...
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Main Authors: | Gibril, Mohamed Barakat A., Kalantar, Bahareh, Al-Ruzouq, Rami, Ueda, Naonori, Saeidi, Vahideh, Shanableh, Abdallah, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi |
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Format: | Article |
Language: | English |
Published: |
MDPI
2020
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Online Access: | http://psasir.upm.edu.my/id/eprint/38105/1/38105.pdf http://psasir.upm.edu.my/id/eprint/38105/ https://www.mdpi.com/2072-4292/12/7/1081 |
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