The MarineGrid project in Ireland

Martin P. Kenirons, J. Ryan, J. Cunniffe, O. Curran, S. Bourke, A. Shearer
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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.
爱尔兰的海洋电网项目
作为爱尔兰国家海底调查(INSS)的一部分,爱尔兰地质调查局(G.S.I)目前在过去五年中从爱尔兰指定区域内的海底收集了超过4太字节的多波束声纳数据,预计该数据集完成后将超过10太字节。地质解释是通过目测水深图来进行的。由于这个数据集的规模和类似数据集的出现,由人类观察者从这样的数据集中提取知识已经变得不可行的。重点已经转向使用人工智能和计算方法进行辅助。数据的商业和环境敏感性意味着安全的数据处理和传输至关重要。这导致了爱尔兰电网组织中MarineGrid项目的创建。新的方法已经被开发出来用于水深信息的统计分析,特别是用于海底岩石类型的自动地质解释和海底特征提取。在这张海报中,我们简要介绍了一种分类算法和一种特征提取算法,以及从NUI Galway MarineGrid项目中获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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