Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing

3D LiDAR can perform an intensive sampling of the earth surface in a direct way, and yield the 3D point cloud that contains numerous and scattered points with the coordinates (<i<X, Y, Z</i<) and attributes (e.g., intensity). As the vital 3D geospatial data for description of the world i...
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Autor*in:	YANG Bisheng [verfasserIn] LIANG Fuxun [verfasserIn] HUANG Ronggang [verfasserIn]

Format:	E-Artikel
Sprache:	Chinesisch

Erschienen:	2017

Schlagwörter:	3D LiDAR point cloud point cloud fusion object extraction 3D representation ubiquitous point cloud

Übergeordnetes Werk:	In: Acta Geodaetica et Cartographica Sinica - Surveying and Mapping Press, 2014, 46(2017), 10, Seite 1509-1516
Übergeordnetes Werk:	volume:46 ; year:2017 ; number:10 ; pages:1509-1516

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.11947/j.AGCS.2017.20170351

Katalog-ID:	DOAJ005839599

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language	Chinese
source	In Acta Geodaetica et Cartographica Sinica 46(2017), 10, Seite 1509-1516 volume:46 year:2017 number:10 pages:1509-1516
sourceStr	In Acta Geodaetica et Cartographica Sinica 46(2017), 10, Seite 1509-1516 volume:46 year:2017 number:10 pages:1509-1516
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institution	findex.gbv.de
topic_facet	3D LiDAR point cloud point cloud fusion object extraction 3D representation ubiquitous point cloud Mathematical geography. Cartography
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container_title	Acta Geodaetica et Cartographica Sinica
authorswithroles_txt_mv	YANG Bisheng @@aut@@ LIANG Fuxun @@aut@@ HUANG Ronggang @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	YANG Bisheng
spellingShingle	YANG Bisheng misc GA1-1776 misc 3D LiDAR misc point cloud misc point cloud fusion misc object extraction misc 3D representation misc ubiquitous point cloud misc Mathematical geography. Cartography Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
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topic_title	GA1-1776 Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing 3D LiDAR point cloud point cloud fusion object extraction 3D representation ubiquitous point cloud
topic	misc GA1-1776 misc 3D LiDAR misc point cloud misc point cloud fusion misc object extraction misc 3D representation misc ubiquitous point cloud misc Mathematical geography. Cartography
topic_unstemmed	misc GA1-1776 misc 3D LiDAR misc point cloud misc point cloud fusion misc object extraction misc 3D representation misc ubiquitous point cloud misc Mathematical geography. Cartography
topic_browse	misc GA1-1776 misc 3D LiDAR misc point cloud misc point cloud fusion misc object extraction misc 3D representation misc ubiquitous point cloud misc Mathematical geography. Cartography
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title	Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
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title_full	Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
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title_sort	progress, challenges and perspectives of 3d lidar point cloud processing
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title_auth	Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
abstract	3D LiDAR can perform an intensive sampling of the earth surface in a direct way, and yield the 3D point cloud that contains numerous and scattered points with the coordinates (<i<X, Y, Z</i<) and attributes (e.g., intensity). As the vital 3D geospatial data for description of the world in the digital era, 3D point cloud plays an important role not only in earth science researches but also in national requirements (e.g., global change analysis, global mapping, and smart city). Inspired by sensor technologies and national requirements, 3D LiDAR has got great progresses in hardware, data processing and applications, and is facing new challenges. Following the history of 3D LiDAR, this paper first reviews the status of 3D LiDAR system, and introduces the development of key technologies in data processing. Then the typical applications of 3D LiDAR in surveying and other related fields are listed, and current challenges in point cloud processing are concluded. Finally, some future perspectives are presented.
abstractGer	3D LiDAR can perform an intensive sampling of the earth surface in a direct way, and yield the 3D point cloud that contains numerous and scattered points with the coordinates (<i<X, Y, Z</i<) and attributes (e.g., intensity). As the vital 3D geospatial data for description of the world in the digital era, 3D point cloud plays an important role not only in earth science researches but also in national requirements (e.g., global change analysis, global mapping, and smart city). Inspired by sensor technologies and national requirements, 3D LiDAR has got great progresses in hardware, data processing and applications, and is facing new challenges. Following the history of 3D LiDAR, this paper first reviews the status of 3D LiDAR system, and introduces the development of key technologies in data processing. Then the typical applications of 3D LiDAR in surveying and other related fields are listed, and current challenges in point cloud processing are concluded. Finally, some future perspectives are presented.
abstract_unstemmed	3D LiDAR can perform an intensive sampling of the earth surface in a direct way, and yield the 3D point cloud that contains numerous and scattered points with the coordinates (<i<X, Y, Z</i<) and attributes (e.g., intensity). As the vital 3D geospatial data for description of the world in the digital era, 3D point cloud plays an important role not only in earth science researches but also in national requirements (e.g., global change analysis, global mapping, and smart city). Inspired by sensor technologies and national requirements, 3D LiDAR has got great progresses in hardware, data processing and applications, and is facing new challenges. Following the history of 3D LiDAR, this paper first reviews the status of 3D LiDAR system, and introduces the development of key technologies in data processing. Then the typical applications of 3D LiDAR in surveying and other related fields are listed, and current challenges in point cloud processing are concluded. Finally, some future perspectives are presented.
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title_short	Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
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