Imaging instruments such as optical, infrared and radar sensors can provide valuable input for monitoring coastal waters. We show how the data obtained from these three sensor types can be useful for coastal surveillance, in particular for ship detection and identification. The paper addresses various aspects of the data fusion process as applied to these sensors, including data alignment, target detection, and target feature (attribute) extraction for target identification.
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