• Infrared and Laser Engineering
  • Vol. 51, Issue 12, 20220148 (2022)
Danyang Xu1, Hongguang Wei2,*, Qiuchun Jin2, Jinwang Qian2, and Xingchen Guo2
Author Affiliations
  • 1Electrical Engineering College, Henan University of Science and Technology, Luoyang 471000, China
  • 2School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450015, China
  • show less
    DOI: 10.3788/IRLA20220148 Cite this Article
    Danyang Xu, Hongguang Wei, Qiuchun Jin, Jinwang Qian, Xingchen Guo. Infrared small target detection algorithm based on two-dimensional modal decomposition combined with patch contrast[J]. Infrared and Laser Engineering, 2022, 51(12): 20220148 Copy Citation Text show less
    References

    [1] Shengxiang Qi, Guojing Xu, Zhiying Mou, et al. A fast-saliency method for real-time infrared small target detection. Infrared Physics & Technology, 77, 440-450(2016).

    [2] Zhou J, Lv H, Zhou F. Infrared small target enhancement by using sequential tophat filters[C]International Society f Optics Photonics, SPIE, 2014, 9301: 93011L.

    [3] C L P Chen, H Li, Y T Wei, et al. A local contrast method for small infrared target detection. IEEE Transactions on Geoscience & Remote Sensing, 52, 574-581(2013).

    [4] J Han, M Yong, Z Bo, et al. A robust infrared small target detection algorithm based on human visual system. IEEE Geoscience & Remote Sensing Letters, 11, 2168-2172(2014).

    [5] P Du, A Hamdulla. Infrared small target detection using homogeneity-weighted local contrast measure. IEEE Geoscience and Remote Sensing Letters, 17, 514-518(2020).

    [6] J Han, K Liang, B Zhou, et al. Infrared small target detection utilizing the multiscale relative local contrast measure. IEEE Geoscience and Remote Sensing Letters, 15, 612-616(2018).

    [7] Yantao Wei, Xinge You, Hong Li. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition, 58, 216-226(2016).

    [8] Chenqiang Gao, Deyu Meng, Yi Yang, et al. Infrared patch-image model for small target detection in a single image. IEEE Transactions on Image Processing, 22, 4996-5009(2013).

    [9] Y Qin, L Bruzzone, C Gao, et al. Infrared small target detection based on facet kernel and random walker. IEEE Transactions on Geoscience and Remote Sensing, 57, 7104-7118(2019).

    [10] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, realtime object detection[C]IEEE Conference on Computer Vision Pattern Recognition, 2015: 779788.

    [11] Redmon J, Farhadi A. YOLO9000: Better, faster, stronger[C]IEEE Conference on Computer Vision Pattern Recognition, 2017: 65176525.

    [12] Redmon J, Farhadi A. YOLOv3: An incremental improvement[C]IEEE Conference on Computer Vision Pattern Recognition, 2018: 8995.

    [13] Liu W, Anguelov D, Erhan D, et al. SSD: Single shot multiBox detect[C]European Conference on Computer Vision, 2016: 2137.

    [14] Lin T, Goyal P, Grishick R., et al. Focal loss f dense object detection[C]IEEE International Conference on Computer Vision, 2017: 29993007.

    [15] He K, Gkioxari G, Dollár P, et al. Mask RCNN[C]IEEE International Conference on Computer Vision, 2017: 29802988.

    [16] Ruzhen Zhang, Jianlin Zhang, Xiaoping Qi, et al. Infrared target detection in complex scenes. Photoelectric Engineering, 47, 10(2020).

    [17] N E Huang, Z Shen, S R Long, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings Mathematical Physical & Engineering Sciences, 454, 903-995(1998).

    [18] J C Nunes, Y Bouaoune, Deléchelle ric, et al. Image analysis by bidimensional empirical mode decomposition. Image & Vision Computing, 21, 1019-1026(2003).

    Danyang Xu, Hongguang Wei, Qiuchun Jin, Jinwang Qian, Xingchen Guo. Infrared small target detection algorithm based on two-dimensional modal decomposition combined with patch contrast[J]. Infrared and Laser Engineering, 2022, 51(12): 20220148
    Download Citation