22 October 2010 Dim-small-targets detection based on higher-order cumulant and wavelet method
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A novel two-dimensional (2-D) adaptive filtering algorithm to enhance 2-D signals of small spatial extent embedded in white Gaussian noise and a variety of outstanding modern digital signal processing methods are combined in background segmentation. The coefficients of the adaptive filter converge to a special 2-D slice of the fourth-order cumulant function of the input signal. The proposed algorithm is called the 2-D cumulant adaptive enhancer (2DCAE). And the methods in background segmentation is combining the wavelet energy transformation, data integration and threshold segmentation.
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Gang Liu, Gang Liu, Rong-hui Wang, Rong-hui Wang, Qi Wang, Qi Wang, "Dim-small-targets detection based on higher-order cumulant and wavelet method", Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76585S (22 October 2010); doi: 10.1117/12.867519; https://doi.org/10.1117/12.867519

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