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Proceedings Paper

Point target detection in IR image sequences based on target and clutter temporal profile modeling
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Paper Abstract

In this paper, we approach the problem of point target detection in IR image sequences by modeling the temporal behavior of clutter and targets on a single pixel basis. These models, which are experimentally verified, are then used to develop a temporal likelihood ratio test and drive the corresponding decision rule. We demonstrate the effectiveness of the technique by applying it to real IR image sequences containing targets of opportunity and evolving cloud clutter. The physical models and resulting hypothesis testing approach could also be applicable to other image sequence processing scenarios. Using acquisition system besides IR imaging, such as detection of small moving objects or structures in a biomedical or biological imaging scenario, or the detection of satellites, meteors or other celestial bodies in night sky imagery acquired using a telescope.

Paper Details

Date Published: 26 July 1999
PDF: 9 pages
Proc. SPIE 3698, Infrared Technology and Applications XXV, (26 July 1999); doi: 10.1117/12.354550
Show Author Affiliations
Alexis P. Tzannes, Air Force Research Lab. (United States)
Dana H. Brooks, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 3698:
Infrared Technology and Applications XXV
Bjorn F. Andresen; Marija Strojnik, Editor(s)

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