Topographic visual analytics of multibeam dynamic SONAR data


This paper considers the problem of low-dimensional visualisation of very high dimensional information sources for the purpose of situation awareness in the maritime environment. In response to the requirement for human decision support aids to reduce information overload (and specifically, data amenable to inter-point relative similarity measures) appropriate to the below-water maritime domain, we are investigating a preliminary prototype topographic visualisation model. The focus of the current paper is on the mathematical problem of exploiting a relative dissimilarity representation of signals in a visual informatics mapping model, driven by real-world sonar systems. A realistic noise model is explored and incorporated into non-linear and topographic visualisation algorithms building on the approach of [9]. Concepts are illustrated using a real world dataset of 32 hydrophones monitoring a shallow-water environment in which targets are present and dynamic.

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Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Mathematics
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
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Event Title: 4th conference of the Sensor Signal Processing for Defence
Event Type: Other
Event Dates: 2014-09-08 - 2014-09-09
Uncontrolled Keywords: Signal Processing,Computer Science Applications,Electrical and Electronic Engineering
ISBN: 978-1-4799-5294-6, 978-1-4799-5293-9
Full Text Link: http://ieeexplo ... rnumber=6943326
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2014
Authors: Rice, Iain
Lowe, David



Version: Accepted Version

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