Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey

Semantic segmentation in 3D meshes is the classification of its constituent element(s) into specific classes or categories. Using the powerful feature extraction abilities of deep neural networks (DNNs), significant results have been obtained in the semantic segmentation of various remotely sensed d...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Jibril Muhammad Adam, Weiquan Liu, Yu Zang, Muhammad Kamran Afzal, Saifullahi Aminu Bello, Abdullahi Uwaisu Muhammad, Cheng Wang, Jonathan Li
Format:	Article
Language:	English
Published:	Elsevier 2023-07-01
Subjects:	Semantic segmentation Deep learning 3D meshes Urban-scale Survey Remote sensing
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843223001899