• Infrared and Laser Engineering
  • Vol. 44, Issue 11, 3500 (2015)
Ma Tianlei1、2、3、*, Shi Zelin1、2, Yin Jian4, Xu Baoshu1、2, and Liu Yunpeng1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: Cite this Article
    Ma Tianlei, Shi Zelin, Yin Jian, Xu Baoshu, Liu Yunpeng. Dim air target detection based on radiation accumulation and space inversion[J]. Infrared and Laser Engineering, 2015, 44(11): 3500 Copy Citation Text show less
    References

    [1] Chen Fei. Research on dim point target detection and tracking in low SNR infrared image sequences[D]. Shanghai: Shanghai Jiao Tong University, 2003. (in Chinese)

    [2] Bai Xiangzhi, Zhou Fugen. Analysis of new top-hat transformation and the application for infrared dimsmall target detection[J]. Pattern Recognition, 2010, 43: 2145-2156.

    [3] Kim Sungho, Yang Yukyung, Lee Joohyoung, et al. Small target detection utilizing robust methods of the human visual system for IRST[J]. Journal of Infrared Millimeter and Terahertz Waves, 2009, 30: 994-1011.

    [4] Philip Chen C L, Li Hong, Wei Yantao, et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 51(1): 574-581.

    [5] Johnston L A, Krishnamurthy V. Performance analysis of a dynamic programming track before detect algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 228-242.

    [6] Huang Linmei, Zhang Guilin, Wang Xinyu. Detecting of small infrared moving object based on dynamic programming algorithm[J]. Infrared and Laser Engineering, 2004, 33(3): 303-306. (in Chinese)

    [7] Zhang Fei, Li Chengfang, Shi Lina. Detecting and tracking dim moving point target in IR image sequence[J]. Infrared Physics & Technology, 2005, 46: 323-328.

    [8] Zhang Qiang, Cai Jingju, Zhang Qiheng. Dim-small moving target detection in infrared image sequences[J]. High Power Laser and Particle Beams, 2011, 23(12): 3312-3316. (in Chinese)

    [9] Nicola Acito, Alessandro Rossi, Marco Diani, et al. Optimal criterion to select the background estimation algorithm for detection of dim point targets in infrared surveillance systems[J]. Optical Engineering, 2011, 50(10): 107204: 1-12.

    [10] Xue Yonghong, Rao Peng, Fan Shiwei, et al. Infrared dim small target detection algorithm based on generative Markov random field and local statistic characteristic[J]. Journal of Infrared and Millimeter Waves, 2013, 32(5): 431-436. (in Chinese)

    [11] Shao Xiaopeng, Fan Hua, Lu Guangxu, et al. An improved infrared dim and small target detection algorithm based on the contrast mechanism of human visual system[J]. Infrared Physics & Technology, 2012, 55: 403-408.

    CLP Journals

    [1] Jinhui Han, Yantao Wei, Zhenming Peng, Qian Zhao, Yaohong Chen, Yao Qin, Nan Li. Infrared dim and small target detection: A review[J]. Infrared and Laser Engineering, 2022, 51(4): 20210393

    Ma Tianlei, Shi Zelin, Yin Jian, Xu Baoshu, Liu Yunpeng. Dim air target detection based on radiation accumulation and space inversion[J]. Infrared and Laser Engineering, 2015, 44(11): 3500
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