Spatially optimised retrieval of 3D point cloud data from a geospatial database for road median extraction

被引：0

作者：

Kumar, Pankaj ^{[1
]}

Lewis, Paul ^{[2
]}

Cahalane, Conor ^{[3
]}

Peters, Stefan ^{[1
]}

机构：

[1] Univ South Australia, Sch Nat & Built Environm, Mawson Lakes, Australia

[2] Maynooth Univ, Natl Ctr Geocomp, Maynooth, Kildare, Ireland

[3] Maynooth Univ, Dept Geog, Maynooth, Kildare, Ireland

来源：

JOURNAL OF SPATIAL SCIENCE | 2022年 / 67卷 / 01期

基金：

爱尔兰科学基金会;

关键词：

Geospatial database; spatial hierarchy; data segmentation; spatial optimisation; point cloud retrieval; road median extraction; LIDAR DATA; MOBILE; ALGORITHM; MARKINGS; OBJECTS; EDGES;

D O I：

10.1080/14498596.2019.1687019

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

We present the GLIMPSE system that provides a framework for storage, management, accessibility and integration of 3D LiDAR data acquired from multiple platforms. We detail a point cloud retrieval approach, which provides spatially optimised access to point cloud data from the system for a particular geographic area based on user specifications. We tested our point cloud retrieval approach to facilitate the extraction of road medians from large volumes of ALS data stored in the GLIMPSE system. The integrated use of a geospatial database, the GLIMPSE system and the point cloud retrieval approach improved the efficiency of road median extraction.

引用

页码：3 / 20

页数：18

共 46 条

[1]

BRUENIG M, 2004, DIRECTIONS MAGAZINE

[2]

BUTLER H, 2013, SPATIAL REFERENCE

[3] An algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds [J].

Cabo, C. ;

Ordonez, C. ;

Garcia-Cortes, S. ;

Martinez, J. .

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 87 :47-56

[4] Optimising Mobile Mapping System Laser Scanner Orientation [J].

Cahalane, Conor ;

Lewis, Paul ;

McElhinney, Conor P. ;

McCarthy, Timothy .

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (01) :302-319

[5] MIMIC: An Innovative Methodology for Determining Mobile Laser Scanning System Point Density [J].

Cahalane, Conor ;

McElhinney, Conor P. ;

Lewis, Paul ;

McCarthy, Timothy .

REMOTE SENSING, 2014, 6 (09) :7857-7877

[6]

*CES CONS, 2019, CES

[7] Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review [J].

Che, Erzhuo ;

Jung, Jaehoon ;

Olsen, Michael J. .

SENSORS, 2019, 19 (04)

[8]

Chen Q, 2007, PHOTOGRAMM ENG REM S, V73, P109

[9] A scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing [J].

Cura, Remi ;

Perret, Julien ;

Paparoditis, Nicolas .

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2017, 127 :39-56

[10] Automatic classification of urban pavements using mobile LiDAR data and roughness descriptors [J].

Diaz-Vilarino, L. ;

Gonzalez-Jorge, H. ;

Bueno, M. ;

Arias, P. ;

Puente, I. .

CONSTRUCTION AND BUILDING MATERIALS, 2016, 102 :208-215

← 1 2 3 4 5 →