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Interactive exploration of the underwater sonar space

机译:水下声纳空间的互动探索

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Today, the US Navy's submarine fleet is equipped with a multitude of advanced, highly capable acoustic sensors and systems that are utilized in many aspects of tactical, navigational, and operational command and control (C2). These modern sonar systems collect, process, store, disseminate, and display sensor data. It is the real-time operational understanding of this collective sensor data that we term sensorspace awareness. Rapid advances in processing techniques, computing power, and sensor technology present a new challenge - sonar operators require extensive training and experience in order to deal with an enormous amount of acoustic data using limited 2D display and interaction tools - nearly unchanged in the past 25 years. Fraunhofer CRCG and the Naval Undersea Warfare Center present a highly interactive Large Scale Visualization Environment (LSVE) for performing the essential tasks of detection and classification of sonar contacts. Our prototype application employs a semi-immersive 3D display system, multiple and mixed modalities of interaction and feedback, and state-of-the-art volumetric visualization and abstraction techniques. The described use-case includes simulated passive sonar data from an advanced towed array system, chosen for both the amount and high degree of dimensionality typical of the data produced. In our scenario, an operator uses the LSVE to rapidly detect a contact in a low signal to noise environment and performs the task of classification. This paper describes the application scenario, approach and implementation of the LSVE and concludes with experiences, lessons learned, and future directions from both the interactive large-scale visualization as well as an application point of view.
机译:今天,美国海军的潜艇舰队配备了多种先进,高度能力的声学传感器和系统,在战术,导航和操作指挥和控制(C2)的许多方面。这些现代声纳系统收集,处理,存储,传播和显示传感器数据。它是对我们术语传感空间认识的集体传感器数据的实时操作理解。加工技术,计算能力和传感器技术的快速进步存在新的挑战 - 声纳运营商需要广泛的培训和经验,以便处理有限的2D显示屏和互动工具的大量声学数据 - 过去25年几乎不变。 Fraunhofer CRCG和海军Undersea Warfare Centre提供了一个高度交互式的大规模可视化环境(LSV),用于执行声纳触点的检测和分类的基本任务。我们的原型应用程序采用半沉浸式3D显示系统,相互作用和反馈的多种和混合方式,以及最先进的体积可视化和抽象技术。所描述的用例包括来自高级牵引阵列系统的模拟被动声纳数据,选择用于所产生的数据的典型数量和高度的维度。在我们的场景中,操作员使用LSVE快速检测低信号中的触点到噪声环境,并执行分类任务。本文介绍了LSV的应用方案,方法和实现,并与互动大规模可视化以及应用程序的观点来看,学习的经验,经验教训和未来方向的结论。

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