Topographic visual analytics of multibeam dynamic SONAR data

Rice, Iain and Lowe, David (2014). Topographic visual analytics of multibeam dynamic SONAR data. IN: 2014 Sensor Signal Processing for Defence (SSPD). Piscataway, NJ (US): IEEE.

Abstract

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.

Publication DOI: https://doi.org/10.1109/SSPD.2014.6943326
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Computer science research group
Additional Information: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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
Full Text Link: http://ieeexplo ... rnumber=6943326
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2014
Authors: Rice, Iain
Lowe, David

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