• DocumentCode
    3613013
  • Title

    Foreword to the Special Issue on Big Data in Remote Sensing

  • Author

    Chi, Mingmin ; Plaza, Antonio J. ; Benediktsson, Jon Atli ; Zhang, Bing ; Huang, Bormin

  • Author_Institution
    School of Computer Science Shanghai Key Laboratory of Data Science Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
  • Volume
    8
  • Issue
    10
  • fYear
    2015
  • Firstpage
    4607
  • Lastpage
    4609
  • Abstract
    The papers in this special issue focus on the deployment of Big Data applications for use in remote sensing. This issue is intended to introduce the latest techniques to manage, exploit, process, and analyze big data in remote sensing applications. It contains 11 papers that exhibit the latest advances in Big Data in Remote Sensing. To understand big data, usually three facets should be taken into account from owning data, data methods, and data applications, which contribute together to a single big data life cycle, including identification of applications, data collections, data processing, data analysis, data visualization, data evaluation, and so on.
  • Keywords
    Big data; Classification algorithms; Cloud computing; Data visualization; Real-time systems; Remote sensing; Spatial resolution; Special issues and sections;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2513662
  • Filename
    7377156