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  • 1.
    Li, Songnian
    et al.
    Ryerson University, Toronto, Canada.
    Dragicevic, Suzana
    Simon Fraser University, Burnaby, Canada.
    Castro, Francesc Antón
    Technical University of Denmark, Lyngby, Denmark.
    Sester, Monika
    Leibniz University Hannover, Germany.
    Winter, Stephan
    University of Melbourne, Australia.
    Coltekin, Arzu
    University of Zurich, Switzerland.
    Pettit, Christopher
    University of New South Wales, Australia.
    Jiang, Bin
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS.
    Haworth, James
    University College London, UK.
    Stein, Alfred
    University of Twente, The Netherlands.
    Cheng, Tao
    University College London, UK.
    Geospatial big data handling theory and methods: a review and research challenges2016In: ISPRS journal of photogrammetry and remote sensing (Print), ISSN 0924-2716, E-ISSN 1872-8235, Vol. 115, p. 119-133Article, review/survey (Refereed)
    Abstract [en]

    Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analyzing, visualizing and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data. Further, the paper synthesises problems, major issues and challenges with current developments as well as recommending what needs to be developed further in the near future.

  • 2.
    Reshetyuk, Yuriy
    KTH, Stockholm, Sweden.
    A unified approach to self-calibration of terrestrial laser scanners2010In: ISPRS journal of photogrammetry and remote sensing (Print), ISSN 0924-2716, E-ISSN 1872-8235, Vol. 65, no 5, p. 445-456Article in journal (Refereed)
1 - 2 of 2
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