15 November 2007 Infrared small target detection and tracking under the conditions of dim target intensity and clutter background
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862M (2007) https://doi.org/10.1117/12.751691
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
To reduce the influences of the dim target intensity and heavy clutter on infrared small target detection and tracking, a novel algorithm is presented in this paper. The algorithm proposes a modified top-hat transformation by importing the property of the small target region firstly, which largely enhances the dim target and apparently suppresses the heavy clutter. Consequently, the potential targets are easy to be segmented by the iterative thresholding method. After decreasing the false alarms through the dilation cumulation, the real target and the trajectory are correctly given by using the data association formed by the motion property of the real target. Various experiments verified that the proposed algorithm was efficient and robust for dim target detection and tracking under the condition of heavy clutter.
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Xiangzhi Bai, Xiangzhi Bai, Fugen Zhou, Fugen Zhou, Ting Jin, Ting Jin, Yongchun Xie, Yongchun Xie, } "Infrared small target detection and tracking under the conditions of dim target intensity and clutter background", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862M (15 November 2007); doi: 10.1117/12.751691; https://doi.org/10.1117/12.751691
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