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 MarineGridproject within the Grid Ireland organisation. 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.
| Original language | English |
|---|---|
| Pages (from-to) | 287-288 |
| Number of pages | 2 |
| Journal | Proceedings of the IEEE International Symposium on High Performance Distributed Computing |
| Publication status | Published - 2005 |
| Event | 14th IEEE International Symposium on High Performance Distributed Computing, HPDC-14 - Research Triangle Park, NC, United States Duration: 24 Jul 2005 → 27 Jul 2005 |
