Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds

Peter van Oosterom; Martijn Meijers; Edward Verbree; Haicheng Liu; Theo Tijssen

Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds

Peter van Oosterom, Martijn Meijers, Edward Verbree, Haicheng Liu, Theo Tijssen

GIS Technologie

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

In this paper we propose to treat point clouds as a first-class representation (similar to vector or raster representations), with the nD-PointCloud as the solution for this, offering deep integration of space, time and scale. For efficiency rea-sons spatial indexing and clustering of these large point clouds is extremely important and this is obtained based on a Space Filling Curved (SFC). In order to get beyond the current state of the art of storing/ managing point clouds in files, a DBMS solution is presented (with all benefits: integration with other data types, scalability, multi-user, transaction support, etc.). Finally, a DBMS SFC interface specification for point clouds is proposed.

Original language	English
Title of host publication	Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde
Editors	Thomas Kolbe, Ralf Bill, Andreas Donaubauer
Place of Publication	München
Publisher	Runder Tisch GIS
Pages	61-71
Number of pages	11
Publication status	Published - 2019
Event	Münchner GI-Runde 2019 - München, Germany Duration: 14 Mar 2019 → 15 Mar 2019

Conference

Conference	Münchner GI-Runde 2019
Country/Territory	Germany
City	München
Period	14/03/19 → 15/03/19

Cite this

@inproceedings{a803b97d42714db88dc37dd40e216f43,

title = "Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds",

abstract = "In this paper we propose to treat point clouds as a first-class representation (similar to vector or raster representations), with the nD-PointCloud as the solution for this, offering deep integration of space, time and scale. For efficiency rea-sons spatial indexing and clustering of these large point clouds is extremely important and this is obtained based on a Space Filling Curved (SFC). In order to get beyond the current state of the art of storing/ managing point clouds in files, a DBMS solution is presented (with all benefits: integration with other data types, scalability, multi-user, transaction support, etc.). Finally, a DBMS SFC interface specification for point clouds is proposed.",

author = "Oosterom, {Peter van} and Martijn Meijers and Edward Verbree and Haicheng Liu and Theo Tijssen",

year = "2019",

language = "English",

pages = "61--71",

editor = "Thomas Kolbe and Ralf Bill and Andreas Donaubauer",

booktitle = "Geoinformationssysteme 2019, Beitr{\"a}ge zur 6. M{\"u}nchner GI-Runde",

publisher = "Runder Tisch GIS",

note = "M{\"u}nchner GI-Runde 2019 ; Conference date: 14-03-2019 Through 15-03-2019",

}

Oosterom, PV , Meijers, M , Verbree, E, Liu, H & Tijssen, T 2019, Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds. in T Kolbe, R Bill & A Donaubauer (eds), Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde. Runder Tisch GIS, München, pp. 61-71, Münchner GI-Runde 2019, München, Germany, 14/03/19.

Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds. / Oosterom, Peter van ; Meijers, Martijn ; Verbree, Edward et al.
Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde. ed. / Thomas Kolbe; Ralf Bill; Andreas Donaubauer. München: Runder Tisch GIS, 2019. p. 61-71.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds

AU - Oosterom, Peter van

AU - Meijers, Martijn

AU - Verbree, Edward

AU - Liu, Haicheng

AU - Tijssen, Theo

PY - 2019

Y1 - 2019

N2 - In this paper we propose to treat point clouds as a first-class representation (similar to vector or raster representations), with the nD-PointCloud as the solution for this, offering deep integration of space, time and scale. For efficiency rea-sons spatial indexing and clustering of these large point clouds is extremely important and this is obtained based on a Space Filling Curved (SFC). In order to get beyond the current state of the art of storing/ managing point clouds in files, a DBMS solution is presented (with all benefits: integration with other data types, scalability, multi-user, transaction support, etc.). Finally, a DBMS SFC interface specification for point clouds is proposed.

AB - In this paper we propose to treat point clouds as a first-class representation (similar to vector or raster representations), with the nD-PointCloud as the solution for this, offering deep integration of space, time and scale. For efficiency rea-sons spatial indexing and clustering of these large point clouds is extremely important and this is obtained based on a Space Filling Curved (SFC). In order to get beyond the current state of the art of storing/ managing point clouds in files, a DBMS solution is presented (with all benefits: integration with other data types, scalability, multi-user, transaction support, etc.). Finally, a DBMS SFC interface specification for point clouds is proposed.

M3 - Conference contribution

SP - 61

EP - 71

BT - Geoinformationssysteme 2019, Beiträge zur 6. Münchner GI-Runde

A2 - Kolbe, Thomas

A2 - Bill, Ralf

A2 - Donaubauer, Andreas

PB - Runder Tisch GIS

CY - München

T2 - Münchner GI-Runde 2019

Y2 - 14 March 2019 through 15 March 2019

ER -

Towards a relational database Space Filling Curve (SFC) interface specification for managing nD-PointClouds

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