• DocumentCode
    2224537
  • Title

    The MarineGrid project in Ireland

  • Author

    Kenirons, Martin P. ; Ryan, J. ; Cunniffe, J. ; Curran, O. ; Bourke, S. ; Shearer, A.

  • Author_Institution
    Dept. of Inf. Technol., Nat. Univ. of Ireland, Galway, Ireland
  • fYear
    2005
  • fDate
    24-27 July 2005
  • Firstpage
    287
  • Lastpage
    288
  • Abstract
    The Geological Survey of Ireland (G.S.I) at present has over 4 terabytes of multi-beam sonar data gathered over the last five years from the seabed within the Irish designated zone as part of the Irish National Seabed Survey (INSS) and this data-set is expected to exceed 10 terabytes upon completion. Geological interpretation is carried out by visual inspection of bathymetric patterns. Due to the size of this data set and the emergence of similar data sets, the extraction of knowledge from such a data sets by human observers has become infeasible. The focus has turned to using artificial intelligence and computational methods for assistance. The commercial and environmental sensitivity of the data means that secure data processing and transmission are of paramount importance. This has lead to the creation of the MarineGrid project within the Grid Ireland organization. New method´s have been developed for statistical analysis of bathymetric information specifically for automated geological interpretation of rock types on the sea floor and feature extraction from the sea floor. In this poster we present a brief synopsis of both a classification algorithm and a feature extraction algorithm and the results obtained from within the NUI Galway MarineGrid project.
  • Keywords
    bathymetry; feature extraction; geophysics computing; grid computing; image classification; knowledge acquisition; oceanographic techniques; remote sensing; sonar imaging; Geological Survey of Ireland; Grid Ireland organization; INSS; Irish National Seabed Survey; NUI Galway MarineGrid project; artificial intelligence; automated geological interpretation; bathymetric information; bathymetric patterns; classification algorithm; feature extraction; knowledge extraction; multibeam sonar data; rock types; sea floor; secure data processing; secure data transmission; statistical analysis; visual inspection; Artificial intelligence; Data mining; Data processing; Feature extraction; Geology; Humans; Inspection; Sea floor; Sonar; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium on
  • ISSN
    1082-8907
  • Print_ISBN
    0-7803-9037-7
  • Type

    conf

  • DOI
    10.1109/HPDC.2005.1520978
  • Filename
    1520978