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    Attempt of UAV oblique images and MLS point clouds for 4D modelling of roadside pole-like objects

    Access Status
    Fulltext not available
    Authors
    Lin, Y.
    West, Geoff
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    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.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.2068287
    ISBN
    9781628413298
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/5596
    Collection
    • Curtin Research Publications
    Abstract

    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.

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