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
Link To Document :
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