Abstract
In this paper, we introduce a new detection method for extremely weak moving target in infrared image sequences based on the novel three-dimensional directional filtering. The main points of the method are, first, we use a dual-diffusion partial differential equation (DFPDE) to pre-whitening an image, which can suppress the constructive texture background effectively and keep the target signal steadily. And second, to match precise target motion characteristic, we propose a Wide-to-Exact search method that can improve the speed of filtering. Experiment results demonstrate that our method can perform good detection results, even at poor signal-to-noise ratio.
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Liu, X., Zuo, Z. (2013). A Dim Small Infrared Moving Target Detection Algorithm Based on Improved Three-Dimensional Directional Filtering. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_13
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DOI: https://doi.org/10.1007/978-3-642-37149-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37148-6
Online ISBN: 978-3-642-37149-3
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