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13 April 2009 Enhancing image fusion performance and utility for defence and security applications
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The real-time fusion of imagery from two or more complementary sensors offers significant operational benefits for both operator-in-the-loop and automated processing systems. This paper reports on a new image fusion framework that can be used to maximise detection, recognition and identification performance within the context of low false-alarm rate operation. The Intelligent Image Fusion (I2F) architecture presented here allows exploitation of data at the information level as well as at the pixel-level, and can do so in an adaptable and intelligent manner. In this paper the architecture is examined in terms of design, applicability to a range of tasks, and performance factors such as adaptability, flexibility and utility. The relationship between algorithm design and hardware implementation, and the consequential impact on system performance, is also reviewed. Particular consideration is given to size, weight and power constraints that exist for some systems and their implications for processing optimisation and implementation on different processing platforms. Results are presented from the outcome of quantitative studies, development programmes and system trials.
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J. Sadler and M. I. Smith "Enhancing image fusion performance and utility for defence and security applications", Proc. SPIE 7345, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009, 734504 (13 April 2009);

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