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Proceedings Paper

Dim target detection in IR image sequences based on fractal and rough set theory
Author(s): Xiaoke Yan; Caicheng Shi; Peikun He
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Paper Abstract

This paper addresses the problem of detecting small, moving, low amplitude in image sequences that also contain moving nuisance objects and background noise. Rough sets (RS) theory is applied in similarity relation instead of equivalence relation to solve clustering issue. We propose fractal-based texture analysis to describe texture coarseness and locally adaptive threshold technique to seek latent object point. Finally, according to temporal and spatial correlations between different frames, the singular points can be filtered. We demonstrate the effectiveness of the technique by applying it to real infrared image sequences containing targets of opportunity and evolving cloud clutter. The experimental results show that the algorithm can effectively increase detection probability and has robustness.

Paper Details

Date Published: 5 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853K (5 January 2006); doi: 10.1117/12.658169
Show Author Affiliations
Xiaoke Yan, Beijing Institute of Technology (China)
Navy Unit 92941 (China)
Caicheng Shi, Beijing Institute of Technology (China)
Peikun He, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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