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    Modelling of an inexpensive 9M satellite dish from 3D point clouds captured by terrestrial laser scanners

    170264.pdf (368.4Kb)
    Access Status
    Open access
    Authors
    Belton, David
    Gibson, Aaron
    Stansby, Bruce
    Tingay, Steven
    Bae, Kwang-ho
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Belton, D. and Gibson, A. and Stansby, B. and Tingay, Steven and Bae, K.-H. 2011. Modelling of an inexpensive 9M satellite dish from 3D point clouds captured by terrestrial laser scanners, in Lichti, D.D. and Habib, A.F. (ed), ISPRS Workshop Laser Scanning 2011, Aug 29-31 2011, Volume XXXVIII-5/W12. Calgary, Canada: ISPRS.
    Source Title
    ISPRS Workshop Laser Scanning 2011
    ISSN
    1682-1777
    School
    Department of Spatial Sciences
    Remarks

    Copyright © 2011 International Society for Photogrammetry and Remote Sensing

    The definitive version is available from the ISPRS Archives at http://www.isprs.org/

    URI
    http://hdl.handle.net/20.500.11937/13621
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents the use of Terrestrial laser scanners (TLS) to model the surface of satellite dish. In this case, the dish was an inexpensive 9m parabolic satellite dish with a mesh surface, and was to be utilised in radio astronomy. The aim of the modelling process was to determine the deviation of the surface away from its true parabolic shape, in order to estimate the surface efficiency with respect to its principal receiving frequency. The main mathematical problems were the optimal and unbiased estimation the orientation of the dish and the fitting of a parabola to the local orientation or coordinate system, which were done by both orthogonal and algebraic minimization using the least-squares method. Due to the mesh structure of the dish, a classification method was also applied to filter out erroneous points being influenced by the supporting structure behind the dish. Finally, a comparison is performed between the ideal parabolic shape, and the data collected from three different temporal intervals.

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