Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds
International Journal of Geographical Information Science
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sg-nus-scholar.10635-1681502024-04-04T05:14:39Z Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds Zhou Guo Chen-Chieh Feng GEOGRAPHY International Journal of Geographical Information Science 34 04 661-680 2020-05-14T03:44:34Z 2020-05-14T03:44:34Z 2018-12-10 Article Zhou Guo, Chen-Chieh Feng (2018-12-10). Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds. International Journal of Geographical Information Science 34 (04) : 661-680. ScholarBank@NUS Repository. 1365-8816 https://scholarbank.nus.edu.sg/handle/10635/168150 Taylor & Francis Taylor & Francis |
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International Journal of Geographical Information Science |
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GEOGRAPHY Zhou Guo Chen-Chieh Feng |
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Zhou Guo Chen-Chieh Feng |
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Zhou Guo Chen-Chieh Feng Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
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Zhou Guo |
title |
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
title_short |
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
title_full |
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
title_fullStr |
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
title_full_unstemmed |
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds |
title_sort |
using multi-scale and hierarchical deep convolutional features for 3d semantic classification of tls point clouds |
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Taylor & Francis |
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2020 |
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https://scholarbank.nus.edu.sg/handle/10635/168150 |
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