Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects
|dc.identifier.citation||Lin, Y. and West, G. 2014. Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects, in Singh, U. and Asai, K. (ed), Proceedings of the SPIE: Lidar Remote Sensing for Environmental Monitoring XIV, 9262, Bejing, China: SPIE.|
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.
|dc.title||Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects|
|dcterms.source.title||Proceedings of SPIE - The International Society for Optical Engineering|
|dcterms.source.series||Proceedings of SPIE - The International Society for Optical Engineering|
|curtin.department||Department of Spatial Sciences|
|curtin.accessStatus||Fulltext not available|