@inproceedings{b15a45682ab54581a46baadfa30f0538,
title = "An infrared dim and small target detection method based on fractional differential",
abstract = "Dim target detection in infrared image with complex background and low signal-ratio(SCR) is a significant and difficult task in the infrared target tracking system, this paper proposes a real time dim target detection algorithm based on fractional differential algorithm. An improved top-hat operator is adopted to process the original image which can restrain the background well. After we enhance the target based on a fractional differential algorithm, to further eliminate residual clutter and gain the saliency map, we process the enhanced image with a spectral residual method. The pipeline filter can reduce the false alarm rate further at last. The algorithm is tested on three different infrared image sequences, and the experimental results show that the algorithm is efficient and robust, which would be very useful for infrared dim small target detection. In particular, the proposed method can improve the SNR of the image significantly.",
keywords = "dim target, fractional differential, improved top-hat, pipeline filtering, saliency detection",
author = "Peng Li and Bin Yan and Run Ye and Guanghui Sun",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1109/CCDC.2018.8407524",
language = "英语",
series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2381--2386",
booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
address = "美国",
}