Detection of small target using recursive higher order statistics

Wang Hou; Hongyuan Sun; Zhihui Lei

doi:10.1117/12.2054029

21 February 2014 Detection of small target using recursive higher order statistics

Wang Hou, Hongyuan Sun, Zhihui Lei

Proceedings Volume 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 (2014) https://doi.org/10.1117/12.2054029
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held July-December 2013, 2013, SuZhou, China

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.

Citation Download Citation

Wang Hou, Hongyuan Sun, and 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); https://doi.org/10.1117/12.2054029

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KEYWORDS

Target detection

Image segmentation

Signal to noise ratio

Clouds

Detection and tracking algorithms

Linear filtering

Image processing

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