Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps

10.3390/rs10081192

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Bibliographic Details
Main Authors:	Feng, C.-C, Guo, Z
Other Authors:	GEOGRAPHY
Format:	Article
Published:	2020
Subjects:	Three dimensional computer graphics National University of Singapore Neighborhood scale Point cloud Sample selection Segment-based Segment-based classification Terrestrial laser scanning Three-dimensional (3D) model Classification (of information)
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/175049
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-175049
record_format	dspace
spelling	sg-nus-scholar.10635-1750492024-04-04T06:30:08Z Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps Feng, C.-C Guo, Z GEOGRAPHY Three dimensional computer graphics National University of Singapore Neighborhood scale Point cloud Sample selection Segment-based Segment-based classification Terrestrial laser scanning Three-dimensional (3D) model Classification (of information) 10.3390/rs10081192 Remote Sensing 10 8 1192 2020-09-09T03:09:03Z 2020-09-09T03:09:03Z 2018 Article Feng, C.-C, Guo, Z (2018). Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps. Remote Sensing 10 (8) : 1192. ScholarBank@NUS Repository. https://doi.org/10.3390/rs10081192 20724292 https://scholarbank.nus.edu.sg/handle/10635/175049 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Three dimensional computer graphics National University of Singapore Neighborhood scale Point cloud Sample selection Segment-based Segment-based classification Terrestrial laser scanning Three-dimensional (3D) model Classification (of information)
spellingShingle	Three dimensional computer graphics National University of Singapore Neighborhood scale Point cloud Sample selection Segment-based Segment-based classification Terrestrial laser scanning Three-dimensional (3D) model Classification (of information) Feng, C.-C Guo, Z Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
description	10.3390/rs10081192
author2	GEOGRAPHY
author_facet	GEOGRAPHY Feng, C.-C Guo, Z
format	Article
author	Feng, C.-C Guo, Z
author_sort	Feng, C.-C
title	Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
title_short	Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
title_full	Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
title_fullStr	Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
title_full_unstemmed	Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps
title_sort	automating parameter learning for classifying terrestrial lidar point cloud using 2d land cover maps
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/175049
_version_	1800914337509933056

Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps

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