一种基于特征和面向应用的海底声空间数据融合新方法

Xiaojun Jiang, Shaohua Ren, Yongzhong Shi
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引用次数: 1

摘要

针对海洋海底声探测(MSAE)领域存在的数据管理效率低、数据表达能力有限等不足,对海洋海底声探测技术及探测数据进行了全面分析。基于地貌学、地形学和地层学的主题,提出了一种基于主题的MSAE数据集成模型。因此,MSAE数据管理和使用的效率得到了提高。在此基础上,提出了一种基于特征、面向应用的MSAE数据融合模型,实现了MSAE数据的充分利用和可视化表达。然后对这两种模型及其结果进行了评价。结合杭州湾海上管道路径检测系统的成功应用,构建了一个GIS原型系统。研究结果表明,本文提出的模型能够提高MSAE领域的数据管理和使用效率,满足更高层次应用的数据需求,实现一致的可视化数据表示。可以为该领域的相关应用提供一定的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel feature-based and application-oriented approach to Marine Sub-bottom Acoustic spatial data fusion
Aiming at the deficiencies in the field of Marine Sub-bottom Acoustic Exploration (MSAE), such as inefficiency in data management and limitation in data representation, full analyses are made on the technology and the exploring data of MSAE. A theme-based data integration model is proposed for MSAE data integration based on the themes of geomorphology, topography, and stratigraphy. The efficiencies of MSAE data management and use are consequently improved. Then a feature-based and application-oriented data fusion model is proposed for the full use and visual representation of the MSAE data. Evaluation of the two proposed models and their results are then made. With the successful application of the marine pipe route inspection (MPRI) in Hangzhou Bay, a GIS prototype system is constructed. All these studies show that the proposed models can improve the efficiencies of data management and use, meet the data needs of higher level applications, and implement the consistent visual data representation, in the field of MSAE. It can provide some references to the related applications in the field.
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