Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classification

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...

Podrobná bibliografie
Hlavní autoři:	Gibril, Mohamed Barakat A., Kalantar, Bahareh, Al-Ruzouq, Rami, Ueda, Naonori, Saeidi, Vahideh, Shanableh, Abdallah, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi
Médium:	Článek
Jazyk:	English
Vydáno:	MDPI 2020
On-line přístup:	http://psasir.upm.edu.my/id/eprint/38105/1/38105.pdf

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