21 February 2014 Detection of small target using recursive higher order statistics
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Abstract
In this paper, a recursive higher order statistics algorithm is proposed for small target detection in temporal domain. Firstly, the background of image sequence is normalized. Then, the higher order statistics are recursively solved in image sequence to obtain the feature image. Finally, the feature image is segmented with threshold to detect the small target. To validate the algorithm proposed in this paper, five simulated and one semi-simulation image sequences are created. The ROC curves are employed for evaluation of experimental results. Experiment results show that our method is very effective for small target detection.
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Wang Hou, Wang Hou, Hongyuan Sun, Hongyuan Sun, Zhihui Lei, Zhihui Lei, } "Detection of small target using recursive higher order statistics", 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, 914206 (21 February 2014); doi: 10.1117/12.2054029; https://doi.org/10.1117/12.2054029
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