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3 November 2005 Three-dimensional double directional filter for tracking and detecting moving dim weak target
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Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441F (2005) https://doi.org/10.1117/12.655216
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
The aim of the present work is to assess the performance of three-dimensional Double Directional Filtering (TDDDF) algorithm for detecting and tracking a weak moving dim target against a complex cluttered background in infrared image sequences. This paper proposes an novel TDDDF to improve the integrated signal-to-clutter ratio (ISCR) and enhance the three-dimensional directional filter's (TDDF) target energy accumulation ability further. Since the TDDDF do well to whitening noise (or quasi whitening noise) but not so sensitive to complex cloudscene background, prior to the filtering, a newly pre-whitening method termed Spatial-Temporal Adaptive Filtering algorithm is used here to suppress clutter background. Extensive experiment results demonstrate the proposed algorithm's ability in detecting weak dim point target against cloud-cluttered background. Finally, performance comparisons of the proposed algorithm and TDDF, on real IR image data, are presented in which the advantages of the proposed TDDDF filters are shown.
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Meng Li, Tianxu Zhang, Weidong Yang, and Haiceng Mao "Three-dimensional double directional filter for tracking and detecting moving dim weak target", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441F (3 November 2005); https://doi.org/10.1117/12.655216
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