Multidimensional Visual Representations for Underwater Environmental Uncertainty

Authors:
Greg S. Schmidt;Sue-Ling Chen;Aaron N. Bryden;Mark A. Livingston;Lawrence J. Rosenblum;Bryan R. Osborn
Affiliations:
ITT Industries and Naval Research Laboratory;ITT Industries and Naval Research Laboratory;Naval Research Laboratory;Naval Research Laboratory;Naval Research Laboratory;Metron, Inc.
Venue:
IEEE Computer Graphics and Applications
Year:
2004

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Abstract

Precise localization and tracking of submarines in the ocean is difficult. The difficulty lies in the inherent environmental uncertainties that affect acoustic propagation in the ocean. In active acoustic detection, a source device (sonar) transmits an acoustic signal into the surrounding environment, and the acoustic returns obtained from a set of receivers are processed to extract echoes from underwater objects. These echoes provide estimates of the position and, over time, the heading of a target. However, numerous factors limit the accurate reconstruction of the target's location and heading. This article investigates how to represent the resulting multivariate information and multidimensional uncertainty by developing and applying candidate visual techniques.