• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081008 (2020)
Yang Xue, Haidong Wu*, Ning Zhang, Zhicheng Yu, Xiaokang Ye, and Xi Hua
Author Affiliations
  • School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • show less
    DOI: 10.3788/LOP57.081008 Cite this Article Set citation alerts
    Yang Xue, Haidong Wu, Ning Zhang, Zhicheng Yu, Xiaokang Ye, Xi Hua. Detection of Insulation Piercing Connectors and Bolts on the Transmission Line Using Improved Faster R-CNN[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081008 Copy Citation Text show less
    References

    [1] Zhou F, Ren G X. Image classification and feature extraction of transmission line based on color space variable[J]. Power System Protection and Control, 46, 89-98(2018).

    [2] Guo M W, Zhao Y Z, Xiang J P et al. Review of object detection methods based on SVM[J]. Control and Decision, 29, 193-200(2014).

    [3] Zhang H, Wang K F, Wang F Y. Advances and perspectives on applications of deep learning in visual object detection[J]. Acta Automatica Sinica, 43, 1289-1305(2017).

    [4] Huang K Q, Ren W Q, Tan T N. A review on image object classification and detection[J]. Chinese Journal of Computers, 37, 1225-1240(2014).

    [5] Thompson A. The cascading Haar wavelet algorithm for computing the Walsh-Hadamard transform[J]. IEEE Signal Processing Letters, 24, 1020-1023(2017).

    [6] Li Z M, Zhou C C, Gong Y H et al. Saliency object detection based on domain transform and contour detection[J]. Journal of Computer-Aided Design & Computer Graphics, 30, 1457-1465(2018).

    [7] Dou Y, Chen M H, Duan L L. Salient region detection based on element contrast and boundary prior[J]. Chinese High Technology Letters, 25, 163-170(2015).

    [8] Jung H G. Analysis of reduced-set construction using image reconstruction from a HOG feature vector[J]. IET Computer Vision, 11, 725-732(2017).

    [9] Zhao Z B, Jin S X, Liu Y C. Aerial insulator image edge extraction method based on NSCT[J]. Chinese Journal of Scientific Instrument, 33, 2045-2052(2012).

    [10] Yang C R[J]. A detection method for insulators based on texture features Electrical Engineering, 2010, 46-48, 52.

    [11] Wu Y. Research on insulator recognition methods in aerial images based on machine learning[D]. Beijing: North China Electric Power University, 9-23(2016).

    [12] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

    [13] Girshick R. Fast R-CNN. [C]∥Proceedings of the IEEE International Conference on Computer Vision, December 13-16, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

    [14] Wei Y M, Quan J C. Hou Y Q Y. Aerial image location of unmanned aerial vehicle based on YOLOv2[J]. Laser & Optoelectronics Progress, 54, 111002(2017).

    [15] Hua X, Wang X Q, Wang D et al. Multi-objective detection of traffic scenes based on improved SSD[J]. Acta Optica Sinica, 38, 1215003(2018).

    [16] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [17] Feng X Y, Mei W, Hu D S. Aerial target detection based on improved faster R-CNN[J]. Acta Optica Sinica, 38, 0615004(2018).

    [18] He K, Zhang X, Ren S et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE transactions on pattern analysis and machine intelligence, 37, 1904-1916(2015). http://www.sciencedirect.com/science/article/pii/S0031320315004252

    Yang Xue, Haidong Wu, Ning Zhang, Zhicheng Yu, Xiaokang Ye, Xi Hua. Detection of Insulation Piercing Connectors and Bolts on the Transmission Line Using Improved Faster R-CNN[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081008
    Download Citation