21 February 2014 The small target detection based on maximum likelihood estimation and spot detection operator
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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.
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Wang Hou, Wang Hou, Gucan Long, Gucan Long, Zhihui Lei, Zhihui Lei, Jing Dong, Jing Dong, } "The small target detection based on maximum likelihood estimation and spot detection operator", 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; https://doi.org/10.1117/12.2054032
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