Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects
The state-of-the-art remote sensing technologies, namely Unmanned Aerial Vehicle (UAV) based oblique imaging and Mobile Laser Scanning (MLS) show great potential for spatial information acquisition. This study investigated the combination of the two data sources for 4D modelling of roadside pole-lik...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
SPIE
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/5596 |
| _version_ | 1848744841074180096 |
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| author | Lin, Y. West, Geoff |
| author_facet | Lin, Y. West, Geoff |
| author_sort | Lin, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The state-of-the-art remote sensing technologies, namely Unmanned Aerial Vehicle (UAV) based oblique imaging and Mobile Laser Scanning (MLS) show great potential for spatial information acquisition. This study investigated the combination of the two data sources for 4D modelling of roadside pole-like objects. The data for the analysis were collected by the Microdrone md4-200 UAV imaging system and the Sensei MLS system developed by the Finnish Geodetic Institute. Pole extraction, 3D structural parameter derivation and texture segmentation were deployed on the oblique images and point clouds, and their results were fused to yield the 4D models for one example of pole-like objects, namely lighting poles. The combination techniques proved promising. |
| first_indexed | 2025-11-14T06:07:52Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5596 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:07:52Z |
| publishDate | 2014 |
| publisher | SPIE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-55962017-09-13T14:40:28Z Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects Lin, Y. West, Geoff The state-of-the-art remote sensing technologies, namely Unmanned Aerial Vehicle (UAV) based oblique imaging and Mobile Laser Scanning (MLS) show great potential for spatial information acquisition. This study investigated the combination of the two data sources for 4D modelling of roadside pole-like objects. The data for the analysis were collected by the Microdrone md4-200 UAV imaging system and the Sensei MLS system developed by the Finnish Geodetic Institute. Pole extraction, 3D structural parameter derivation and texture segmentation were deployed on the oblique images and point clouds, and their results were fused to yield the 4D models for one example of pole-like objects, namely lighting poles. The combination techniques proved promising. 2014 Conference Paper http://hdl.handle.net/20.500.11937/5596 10.1117/12.2068287 SPIE restricted |
| spellingShingle | Lin, Y. West, Geoff Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title | Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title_full | Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title_fullStr | Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title_full_unstemmed | Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title_short | Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects |
| title_sort | attempt of uav oblique images and mls point clouds for 4d modelling of roadside pole-like objects |
| url | http://hdl.handle.net/20.500.11937/5596 |