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11 October 2010 Detection of infrared dim targets based on crossover matching evolution operator
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For the detection of infrared dim targets to enhance the performance of detection, following the TBD schedule in this paper the multi-level crossover and matching operator is presented. During pre-processing the compound kernel function and high order correlation filter are given to remove clutter without recur to the dynamical equations. In data association stage the Greedy principle is adopted to handle the time complexity in DPA and at the same time crossover matching operator is given to construct and choose target trajectory. During the post processing, based on the characteristic of the targets we perform multi-information association in order to suppress false alarm further more. By the comparison and analysis of experiments it can be found that the method is more prefer to strengthen the tracking performance of targets with SNR<2.0 dB.
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Hai ying Zhang and Xuan Wen "Detection of infrared dim targets based on crossover matching evolution operator", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 765617 (11 October 2010);

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