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StudyDesk: interactive data analysis and scientific visualization in a semi-immersive environment [5009-40]

Stephenson, Peter J. and Branco, Pedro and Tesch, Joachim and Encarnacao, L. Miguel and Zeltzer, David L. (2003) StudyDesk: interactive data analysis and scientific visualization in a semi-immersive environment [5009-40]. In: Erbacher, Robert F. and Chen, Philip C. and Robertson, Jonathan C. and Grohn, Matti T. and Borner, Katy, eds. Visualization and Data Analysis 2003. Proceedings of SPIE . SPIE, pp. 294-301. ISBN 0-8194-4809-5. (doi:10.1117/12.474030) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14023)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1117/12.474030

Abstract

We present a highly interactive large-scale visualization environment for performing the tasks of detection and classification of sonar contacts in a low signal to noise environment. The system described deals with simulated passive sonar data from an advanced towed array system, chosen for both the amount and high dimensionality typical of the data produced. 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. Our two-stage approach seeks to use human talents, experience and intuition to leverage and direct high-performance computing resources. The first stage ('search&detect') aims at providing advanced visualization and human/machine interface techniques to enable sonar operators to quickly and confidently detect contacts in low signal-to-noise dataspaces. In the second component ('analyze&classify'), we utilize a highly interactive volumetric representation of the tactical SensorSpace that the operator can interrogate using various visual and auditory cues. This presentation describes the application scenario, approach and implementation of the visualization environment and concludes with experiences, lessons learned, and future directions from both the interactive large-scale visualization as well as an application point of view.

Item Type: Book section
DOI/Identification number: 10.1117/12.474030
Uncontrolled keywords: visualization; environmental sensing; scientific visualization; 3D displays; information visualization; signal to noise ratio
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 05 Jul 2019 08:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14023 (The current URI for this page, for reference purposes)
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