Infrared Technology, Volume. 43, Issue 7, 688(2021)

Infrared Small Target Detection Method Based on Multi-Scale Feature Fusion

Fang WANG1,2, Chuanqiang LI1, Bo WU1,3, Kun YU3, Chan JIN2, Yake CHEN1, and Yinghui LU1
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(19)

    [1] [1] SHAO Xiaopeng, FAN Hua, LU Guangxu, et al. An improved infrared

    [2] [2] Coppo Peter. Simulation of fire detection by infrared imagers from geostationary satellites[J]. Remote Sensing of Environment, 2015, 162: 84-98.

    [5] [5] QIN Y, LI B. Effective Infrared Small Target Detection Utilizing a Novel Local Contrast Method[J]. IEEE Geoscience & Remote Sensing Letters, 2016: 1890-1894.

    [6] [6] DENG L, HU Z, QUAN Z, et al. Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection[J]. Multimedia Tools & Applications, 2017(6): 1-13.

    [8] [8] Krizhevsky A, Sutskever I, Hinton G. ImageNet Classification with Deep Convolutional Neural Networks[C]//NIPS. Curran Associates Inc., 2012: 84-90.

    [9] [9] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J/OL]. Computer Science, 2014, https://www.oalib.com/paper/4068791.

    [10] [10] HE K, ZHANG X, REN S, et al. Identity Mappings in Deep Residual Networks[M]. Springer, Cham, 2016.

    [11] [11] Szegedy C, WEI L, JIA Y, et al. Going Deeper with Convolutions[J]. IEEE Computer Society, 2015(6): 19.

    [12] [12] Girshick R, Donahue J, Darrell T, et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[J]. IEEE Computer Society, 2013, 81: 580-587.

    [13] [13] Girshick R. Fast R-CNN[C]//2015 IEEE International Conference on Computer Vision (ICCV), 2015: 1440-1448.

    [14] [14] REN S, HE K, Girshick R, et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(6): 1137-1149.

    [15] [15] Redmon J, Divvala S, Girshick R, et al. You Only Look Once: Unified, Real-Time Object Detection[C]//Computer Vision & Pattern Recognition. IEEE, 2016: 779-788.

    [16] [16] LIU W, Anguelov D, Erhan D, et al. SSD: Single Shot MultiBox Detector[J].European Conference on Computer Vision, 2016: 21-37.

    [20] [20] Ryu J, Kim S. Data Driven Proposal and Deep Learning-based Small Infrared Drone Detection[J]. Journal of Institute of Control, Robotics and Systems, 2018, 24: 1146-1151.

    [21] [21] Ryu J, Kim S.Heterogeneous Gray-Temperature Fusion-Based Deep Learning Architecture for Far Infrared Small Target Detection[J]. Journal of Sensors, 2019(7): 1-15.

    [22] [22] Redmon J , Farhadi A. YOLO9000: Better, Faster, Stronger[J]. IEEE, 2017(11): 6517-6525.

    [23] [23] SHI W, Caballero J, F Huszár, et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network[J]. IEEE, 2016(12): 1063-6919.

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    WANG Fang, LI Chuanqiang, WU Bo, YU Kun, JIN Chan, CHEN Yake, LU Yinghui. Infrared Small Target Detection Method Based on Multi-Scale Feature Fusion[J]. Infrared Technology, 2021, 43(7): 688

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    Paper Information

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    Received: Mar. 24, 2021

    Accepted: --

    Published Online: Sep. 11, 2021

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