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Proceedings Paper

Infrared small target detection and tracking under the conditions of dim target intensity and clutter background
Author(s): Xiangzhi Bai; Fugen Zhou; Ting Jin; Yongchun Xie
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862M (15 November 2007); doi: 10.1117/12.751691
Show Author Affiliations
Xiangzhi Bai, Beihang Univ. (China)
Fugen Zhou, Beihang Univ. (China)
Ting Jin, Beihang Univ. (China)
Yongchun Xie, Beijing Institute of Control Engineering (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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