Image registration is in some senses the ‘forgotten problem ’ in multi-sensor image exploitation. Image registration will, at present, typically involve using a constant registration transform to align images from sensors fixed relative to each other and separated by as small a distance as possible. For more challenging situations in which sensors are more widely spaced and not fixed relative to each other (e.g. teams of Uninhabited Air Vehicles, UAVs) the registration problem becomes far more complex. This paper reports on the progress that has been made under a SEAS DTC project towards understanding the image registration requirements for sensors on Uninhabited Vehicles (UVs) and the development of algorithms suitable for UV applications. A modelling environment has been created that allows a wide variety of scenarios to be examined in terms of their registration requirements, given different mission objectives, environmental conditions and UV sensor suites. The model is described in this paper and example results are presented. Details of new registration algorithms being developed are then given and initial results discussed
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