Applied Multi-Dimensional Fusion

The purpose of the AMDF Cluster is to investigate the benefits that data fusion, and related techniques, may bring to future military Intelligence Surveillance Target Acquisition and Reconnaissance (ISTAR) systems. In the course of this work it is intended to showcase the practical application of some of the best multi-dimensional fusion research in the United Kingdom. This paper highlights work done in the area of: Multi-spectral synthetic data generation, super-resolution techniques to enhance low resolution images, joint fusion and blind image restoration, multi-resolution target detection and identification and a task based look at assessment metrics 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 being brought together through the use of common synthetic data, posing real life problems faced in the theatre. Work done to date has produced practical pertinent research products with direct applicability to the problems posed.