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Proceedings Paper

The small target detection based on maximum likelihood estimation and spot detection operator
Author(s): Wang Hou; Gucan Long; Zhihui Lei; Jing Dong
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Paper Abstract

In this paper, aiming at the small target detection problem in the infrared image sequence, we propose a small target detection method based on maximum likelihood estimation and NNLoG spot detection operator. Compared with the traditional method, our proposed method can partially solve the nonlinear motion of the small target in image sequence. The real target trajectory is approximated by polynomial to enhance the signal to noise ratio of target. To validate the proposed method, we create eight experiments to simulate. The experiment result shows that our method is very valuable for small target detection.

Paper Details

Date Published: 21 February 2014
PDF: 13 pages
Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 914207 (21 February 2014); doi: 10.1117/12.2054032
Show Author Affiliations
Wang Hou, National Univ. of Defense Technology (China)
Gucan Long, National Univ. of Defense Technology (China)
Zhihui Lei, National Univ. of Defense Technology (China)
Jing Dong, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9142:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
Jorge Ojeda-Castaneda; Shensheng Han; Ping Jia; Jiancheng Fang; Dianyuan Fan; Liejia Qian; Yuqiu Gu; Xueqing Yan, Editor(s)

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