1 October 2007 Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter
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Optical Engineering, 46(10), 106401 (2007). doi:10.1117/1.2799509
Abstract
To detect and track moving dim targets against the complex cluttered background in IR image sequences is still a difficult problem because the nonstationary structured background clutter usually results in low target detectability and a high probability of false alarm. A new adaptive anisotropic filter based on a modified partial differential equation (AFMPDE) is proposed to detect a small target in such a strong cluttered background. A regularizing operator is employed to adaptively eliminate structured background and simultaneously enhance the target signal. The proposed algorithm's performance is illustrated and compared with the two-dimensional least mean square (TDLMS) adaptive filter on real IR image data. Experimental results demonstrate that the proposed novel method is fast and effective.
Biyin Zhang, Tianxu Zhang, Zhiguo Cao, Kun Zhang, "Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter," Optical Engineering 46(10), 106401 (1 October 2007). https://doi.org/10.1117/1.2799509
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