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Optical Engineering

Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter
Author(s): Biyin Zhang; Tianxu Zhang; Zhiguo Cao; Kun Zhang
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Paper 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.

Paper Details

Date Published: 1 October 2007
PDF: 6 pages
Opt. Eng. 46(10) 106401 doi: 10.1117/1.2799509
Published in: Optical Engineering Volume 46, Issue 10
Show Author Affiliations
Biyin Zhang, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Kun Zhang, Huazhong Univ. of Science and Technology (China)


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