“EZ-Gram”声呐显示工具:在海底环境中应用交互式数据可视化和分析

R. J. Barton, R. J. Rowland, L.M. Encamacao
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引用次数: 7

摘要

如今的声纳操作员需要处理大量的声学传感器数据来进行搜索和分析。传感器、信号处理和计算能力方面的技术进步使声纳操作员能够收集大量数据,产生高度杂乱的显示。因此,操作人员需要更多的培训和经验才能达到预期的性能水平。传统上,声纳系统本身的设计是为了在存在噪声的情况下最大化信号,而操作员必须通过训练和经验来有效地检测和分类感兴趣的物体。在本文中,我们提出了一项正在进行的努力,以开发和评估革命性的声学评估辅助工具和分析工具,旨在极大地简化声学战术图像,同时指导声纳操作员在声纳显示中“从谷壳中挑选小麦”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"EZ-Gram" sonar display tools: applying interactive data visualization and analysis to undersea environments
Today's sonar operator is overloaded with an extraordinary amount of processed acoustic sensor data to search through and analyze. Technological advances in sensors, signal processing, and computational power allow sonar operators to collect an overwhelming amount of data, generating highly cluttered displays. Consequently, operators are burdened with the need for more training and experience to achieve the desired level of performance. The sonar system itself is traditionally designed to maximize signals in the presence of noise, while the operator must use training and experience to efficiently detect and classify objects of interest. In this paper we present an ongoing effort to develop and evaluate revolutionary acoustic assessment aids and analysis tools designed to tremendously simplify the acoustic tactical picture while guiding the sonar operator in picking the "wheat from the chaff" in a sonar display.
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