Nested spatial data structures for optimal indexing of LiDAR data-Reference-Cited by-同舟云学术

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Nested spatial data structures for optimal indexing of LiDAR data

Published:2023-01 Issue: Volume:195 Page:287-297
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Ogayar-Anguita Carlos J.^ORCID,López-Ruiz Alfonso^ORCID,Rueda-Ruiz Antonio J.^ORCID,Segura-Sánchez Rafael J.^ORCID

Funder

European Regional Development Fund

Ministerio de Ciencia, Innovación y Universidades

Universidad de Jaén

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference44 articles.

1. Out-of-core construction of sparse voxel octrees: Out-of-core construction of sparse voxel octrees;Baert;Comput. Graph. Forum,2014

2. OGC Testbed-14: Point Cloud Data Handling Engineering Report;Boehler,2018

3. Boehm, J., 2014. File-centric Organization of large LiDAR Point Clouds in a Big Data context. In: Workshop on Processing Large Geospatial Data. Cardiff, UK.

4. Sideloading ingestion of large point clouds into the Apache spark bid data engine;Boehm;ISPRS - Int. Arch. Photogram. Remote Sens. Spatial Inform. Sci.,2016

5. Lidar sensors;Bräunl,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPU‐Accelerated LOD Generation for Point Clouds;Computer Graphics Forum;2023-08-04

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