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Proceedings Paper

Fast algorithm of infrared small target detection in jitter background
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Paper Abstract

The task of small target detection is to extract the small targets from the background image including clutter, noise and jitter background, so it is difficult to deal with. In this paper, after analyzing infrared small targets, noise and clutter model, we use a small window median filter to estimate the infrared background. Then using background cancelling method, that is, subtracting the estimated background from the source image, the resident image can be obtained. Finally, an adaptive threshold is used to segment the residual image to obtain the potential targets. Considering the computational load, the two-dimensional filter is simplified into a one-dimensional filter. Experimental results show that the algorithm achieved good performance and satisfy the requirement of real-time processing of large size infrared image.

Paper Details

Date Published: 22 May 2015
PDF: 6 pages
Proc. SPIE 9476, Automatic Target Recognition XXV, 947614 (22 May 2015); doi: 10.1117/12.2176543
Show Author Affiliations
Weiping Yang, National Univ. of Defense Technology (China)
Xinping Lu, National Univ. of Defense Technology (China)
Jicheng Li, National Univ. of Defense Technology (China)
Zhilong Zhang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9476:
Automatic Target Recognition XXV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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