Octree-based indexing for 3D pointclouds within an Oracle Spatial DBMS

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Title: Octree-based indexing for 3D pointclouds within an Oracle Spatial DBMS
Authors: Schoen, Bianca
Mosa, Abu Saleh Mohammad
Laefer, Debra F.
et al.
Permanent link: http://hdl.handle.net/10197/4855
Date: Feb-2013
Abstract: A large proportion of today's digital datasets have a spatial component. The effective storage and management of which poses particular challenges, especially with light detection and ranging (LiDAR), where datasets of even small geographic areas may contain several hundred million points. While in the last decade 2.5-dimensional data were prevalent, true 3-dimensional data are increasingly commonplace via LiDAR. They have gained particular popularity for urban applications including generation of city-scale maps, baseline data disaster management, and utility planning. Additionally, LiDAR is commonly used for flood plane identification, coastal-erosion tracking, and forest biomass mapping. Despite growing data availability, current spatial information systems do not provide suitable full support for the data's true 3D nature. Consequently, one system is needed to store the data and another for its processing, thereby necessitating format transformations. The work presented herein aims at a more cost-effective way for managing 3D LiDAR data that allows for storage and manipulation within a single system by enabling a new index within existing spatial database management technology. Implementation of an octree index for 3D LiDAR data atop Oracle Spatial 11g is presented, along with an evaluation showing up to an eight-fold improvement compared to the native Oracle R-tree index.
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2013 Elsevier
Keywords: LiDAR pointcloud dataLaser scanningThree-dimensional indexingSpatial databasesOctree
DOI: 10.1016/j.cageo.2012.08.021
Language: en
Status of Item: Peer reviewed
Conference Details: Transportation Research Board 89th Annual Meeting
Appears in Collections:Earth Institute Research Collection
Civil Engineering Research Collection

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