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The Computer Journal Advance Access originally published online on September 26, 2007
The Computer Journal 2007 50(6):646-659; doi:10.1093/comjnl/bxm069
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© The Author 2007. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Applied Multi-Dimensional Fusion

Asher Mahmood1,*, Philip M. Tudor1, William Oxford2, Robert Hansford3, James D. B. Nelson4, Nicholas G. Kingsbury4, Antonis Katartzis5, M. Petrou5, N. Mitianoudis5, T. Stathaki5, Alin Achim6, David Bull6, Nishan Canagarajah6, Stavri Nikolov6, Artur Loza6 and Nedeljko Cvejic6

1 General Dynamics United Kingdom Limited, Castleham Road, St. Leonards on Sea, East Sussex TN38 9NJ, UK
2 Waterfall Solutions, Parklands, Guildford, Surrey GU2 9JX, UK
3 QinetiQ, Cody Technology Park, Ively Road, Farnborough, Hampshire GU14 0LX, UK
4 Signal Processing Group, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
5 Signal Processing Group, Department of Electrical Electronic Engineering, Imperial College, London SW7 2AZ, UK
6 Department of Electrical Electronic Engineering, Bristol University, Bristol BS8 1UB, UK

* Corresponding author: asher.mahmood{at}generaldynamics.uk.com

Received 10 January 2007; revised 21 June 2007

The purpose of the Applied Multi-dimensional Fusion Project is to investigate the benefits that data fusion and related techniques may bring to future military Intelligence Surveillance Target Acquisition and Reconnaissance systems. In the course of this work, it is intended to show the practical application of some of the best multi-dimensional fusion research in the UK. This paper highlights the work done in the area of multi-spectral synthetic data generation, super-resolution, joint fusion and blind image restoration, multi-resolution target detection and identification and assessment measures for fusion. The paper also delves into the future aspirations of the work to look further at the use of hyper-spectral data and hyper-spectral fusion. The paper presents a wide work base in multi-dimensional fusion that is brought together through the use of common synthetic data, posing real-life problems faced in the theatre of war. Work done to date has produced practical pertinent research products with direct applicability to the problems posed.

Key Words: multidimensional fusion • video fusion • pixel level fusion • super resolution • normalised convolution • lorentzian robust norm • blind image restoration • DT-CWT • polar matching matrix • Kiviat diagram • hyper-spectral • band reduction technique


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