• DocumentCode
    3690242
  • Title

    Large scale thematic mapping by supervised machine learning on ‘big data’ distributed cluster computing frameworks

  • Author

    J. Lozano;N. Aginako;M. Quartulli;I. Olaizola;E. Zulueta;P. Iriondo

  • Author_Institution
    Vicomtech-IK4, Digital TV and Multimedia Services, Mikeletegi 57, 20009 Donostia, Spain
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1504
  • Lastpage
    1507
  • Abstract
    The Petabyte-scale data volumes in Earth Observation (EO) archives are not efficiently manageable with serial processes running on large isolated servers. Distributed storage and processing based on `big data´ cloud computing frameworks needs to be considered as a part of the solution.
  • Keywords
    "Sparks","Prototypes","Machine learning algorithms","Feature extraction","Big data","Clustering algorithms","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326065
  • Filename
    7326065
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3690242