Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/168150

DC Field	Value
dc.title	Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds
dc.contributor.author	Zhou Guo
dc.contributor.author	Chen-Chieh Feng
dc.date.accessioned	2020-05-14T03:44:34Z
dc.date.available	2020-05-14T03:44:34Z
dc.date.issued	2018-12-10
dc.identifier.citation	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.
dc.identifier.issn	1365-8816
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/168150
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	GEOGRAPHY
dc.description.sourcetitle	International Journal of Geographical Information Science
dc.description.volume	34
dc.description.issue	04
dc.description.page	661-680
dc.published.state	Published
Appears in Collections:	Staff Publications Elements

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