Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter

doi:10.1117/1.2799509

1 October 2007 Fast new small-target detection algorithm based on a modified partial differential equation in infrared clutter

Biyin Zhang, Tianxu Zhang, Zhiguo Cao, Kun Zhang

Author Affiliations +

Optical Engineering, Vol. 46, Issue 10, 106401 (October 2007). https://doi.org/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.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Biyin Zhang, Tianxu Zhang, Zhiguo Cao, and 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

Published: 1 October 2007

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