• Infrared and Laser Engineering
  • Vol. 49, Issue S2, 20200401 (2020)
Chen Ming1、*, Zhao Lianfei2, Yuan Limin1, Xu Feng1, and Han Mo1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla20200401 Cite this Article
    Chen Ming, Zhao Lianfei, Yuan Limin, Xu Feng, Han Mo. Insulator detection method based on feature selection YOLOv3 network[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200401 Copy Citation Text show less
    References

    [1] Peng Xiangyang, Zhong Qing, Rao Zhangquan,et al. Intelligent diagnostic techniques of transmission lines corona discharge defect based on ultraviolet detection from unmanned aerial vehicle[J]. High Voltage Engineering, 2014, 40(8): 2292-2298. (in Chinese)

    [2] Zhou G, Yuan J, Yen I L, et al. Robust real-time UAV based power line detection and tracking[C]//2016 IEEE International Conference on Image Processing(ICIP). IEEE, 2016.

    [3] Huang Jiancai, Zhu Yongli. Insulator leakage current denoising based on FFT and ITD[J]. Electric Power Automation Equipment, 2013, 33(10): 101-106. (in Chinese)

    [4] Zhao Zhenbing, Jin Sixin, Liu Yachun. Aerial insulator image edge extraction method based on NSCT[J]. Chinese Journal of Scientific Instrument, 2012, 33(9): 2045-2052. (in Chinese)

    [5] Lin Jucai, Han Jun, Chen Fangming, et al. Defects detection of glass insulator based on color image[J]. Power System Technology, 2011, 35(1): 127-133. (in Chinese)

    [6] Li Weiguo, Ye Gaosheng, Huang feng, et al. Recognition of insulator based on developed MPEG-7 texture feature[J]. High Voltage Apparatus, 2010, 46(10): 65-68. (in Chinese)

    [7] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

    [8] Dai J, Li Y, He K, et al. R-FCN: Object detection via region-based fully convolutional networks[C]//30th Conference on Neural Information Processing Systems (NIPS), 2016.

    [9] Ma Jianqi, Shao Weiyuan, Ye Yao, et al. Arbitrary-oriented scene text detection via rotation proposals[J]. IEEE Transactions on Multimedia, 2018, 20(11): 3111-3122.

    [10] Singh B, Li H, Sharma A, et al. R-FCN-3000 at 30fps: Decoupling Detection and Classification[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

    [11] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real time object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

    [12] Redmon J, Farhadi A. YOLOv3: an incremental improvement [EB/OL]. [2018-12-13].https://pjreddie.com/media/files/papers/YOLOv3.pdf.

    [13] Lin T,Dollár P, Girshick R. Feature pyramid networks for object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

    [14] Han Zishuo, Wang Chunping, Fu Qiang, et al. Ship detection in sar images based on super densefeature pyramid networks[J]. Systems Engineering and Electronics, 2020, 42(10): 2214-2222. (in Chinese)

    [15] Xu Chengqi, Hong Xuehai. Feature pyramid object detection network based on function maintenance[J]. Pattern Recognition and Artificial Intelligence, 2020(6): 507-517. (in Chinese)

    [16] Deng Yuanzhi, Hu Gang. Crowd density evaluation method based on feature pyramid[J]. Measurement & Control Technology,2020,340(6): 117-123. (in Chinese)

    [17] Zhao Tin, Wu X. Pyramid Feature Attention Network for Saliency detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2019.

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    Chen Ming, Zhao Lianfei, Yuan Limin, Xu Feng, Han Mo. Insulator detection method based on feature selection YOLOv3 network[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200401
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