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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Main Authors: Zhou Guo, Chen-Chieh Feng
Other Authors: GEOGRAPHY
Format: Article
Published: Taylor & Francis 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/168150
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Institution: National University of Singapore
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spelling 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
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description International Journal of Geographical Information Science
author2 GEOGRAPHY
author_facet GEOGRAPHY
Zhou Guo
Chen-Chieh Feng
format Article
author Zhou Guo
Chen-Chieh Feng
spellingShingle Zhou Guo
Chen-Chieh Feng
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds
author_sort 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
publisher Taylor & Francis
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/168150
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