Topographic visual analytics of multibeam dynamic SONAR data

Iain Rice, David Lowe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2014 Sensor Signal Processing for Defence (SSPD)
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-4799-5293-9
ISBN (Print)978-1-4799-5294-6
DOIs
Publication statusPublished - 2014
Event4th conference of the Sensor Signal Processing for Defence - Edinburgh, United Kingdom
Duration: 8 Sep 20149 Sep 2014

Conference

Conference4th conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2014
CountryUnited Kingdom
CityEdinburgh
Period8/09/149/09/14

Bibliographical note

© 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.

Fingerprint Dive into the research topics of 'Topographic visual analytics of multibeam dynamic SONAR data'. Together they form a unique fingerprint.

  • Cite this

    Rice, I., & Lowe, D. (2014). Topographic visual analytics of multibeam dynamic SONAR data. In 2014 Sensor Signal Processing for Defence (SSPD) IEEE. https://doi.org/10.1109/SSPD.2014.6943326