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- W1488542887 abstract "To detect and track moving dim targets against the complex cluttered background in infrared (IR) image sequences is still a difficult issue because the nonstationary structured background clutter usually results in low target detectability and high probability of false alarm. A brand-new adaptive Regularizing Anisotropic Filter based on Partial Differential Equation (RAFPDE) is proposed to detect and track a small target in such strong cluttered background. A regularization operator is employed to adaptively eliminate structured background and simultaneously enhance target signal. The proposed algorithm's performance is illustrated and compared with a two-dimensional least mean square adaptive filter algorithm and a BP neural network prediction algorithm on real IR image data. Experimental results demonstrate that the proposed novel method is fast and effective." @default.
- W1488542887 created "2016-06-24" @default.
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- W1488542887 date "2007-07-16" @default.
- W1488542887 modified "2023-09-24" @default.
- W1488542887 title "A Fast New Small Target Detection Algorithm Based on Regularizing Partial Differential Equation in IR Clutter" @default.
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- W1488542887 doi "https://doi.org/10.1007/978-3-540-72393-6_103" @default.
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