Applied Multi-Dimensional Fusion

  • Authors:
  • Asher Mahmood;Philip M. Tudor;William Oxford;Robert Hansford;James D. B. Nelson;Nicholas G. Kingsbury;Antonis Katartzis;M. Petrou;N. Mitianoudis;T. Stathaki;Alin Achim;David Bull;Nishan Canagarajah;Stavri Nikolov;Artur Łoza;Nedeljko Cvejic

  • Affiliations:
  • -;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-

  • Venue:
  • The Computer Journal
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.