• Laser & Optoelectronics Progress
  • Vol. 58, Issue 20, 2010013 (2021)
Yanlei Xu1, Jiran Liang1、2、*, Guojun Dong3, and Zhuang Chen1
Author Affiliations
  • 1School of Microelectronics, Tianjin University, Tianjin 300072, China
  • 2Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China
  • 3Tianjin 712 Communication & Broadcasting Shareholding Co., Ltd., Tianjin 300457, China;
  • show less
    DOI: 10.3788/LOP202158.2010013 Cite this Article Set citation alerts
    Yanlei Xu, Jiran Liang, Guojun Dong, Zhuang Chen. Aerial Image Target Detection Algorithm Based on Improved CenterNet[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2010013 Copy Citation Text show less
    References

    [1] Tijtgat N, Van Ranst W, Volckaert B et al. Embedded real-time object detection for a UAV warning system[C]. //2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy., 2110-2118(2017).

    [2] Xie B, Zhu B, Zhang H W et al. Gradient clustering algorithm based on deep learning aerial image detection[J]. Laser & Optoelectronics Progress, 56, 061007(2019).

    [3] Liu Y J, Yang F B, Hu P. Parallel FPN algorithm based on Cascade R-CNN for object detection from UAV aerial images[J]. Laser & Optoelectronics Progress, 57, 201505(2020).

    [4] Liu F, Wu Z W, Yang A Z et al. Multi-scale feature fusion based adaptive object detection for UAV[J]. Acta Optica Sinica, 40, 1015002(2020).

    [5] 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., 580-587(2014).

    [6] 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).

    [7] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 779-788(2016).

    [8] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 6517-6525(2017).

    [9] Cheng G, Zhou P C, Han J W. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 54, 7405-7415(2016).

    [10] Deng Z P, Sun H, Zhou S L et al. Fast multiclass object detection in optical remote sensing images using region based convolutional neural networks[C]. //2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, 2017, Fort Worth, TX, USA., 858-861(2017).

    [11] Hu Y Y, Wu X J, Zheng G D et al. Object detection of UAV for anti-UAV based on improved YOLO v3[C]. //2019 Chinese Control Conference (CCC), July 27-30, 2019, Guangzhou, China., 8386-8390(2019).

    [12] Neubeck A, van Gool L. Efficient non-maximum suppression[C]. //18th International Conference on Pattern Recognition (ICPR’06), August 20-24, 2006, Hong Kong, China., 850-855(2006).

    [13] Zhou X Y, Zhuo J C, Krähenbühl P. Bottom-up object detection by grouping extreme and center points[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 850-859(2019).

    [14] Tian Z, Shen C H, Chen H et al. FCOS: fully convolutional one-stage object detection[C]. //2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South), 9626-9635(2019).

    [15] Law H, Deng J. CornerNet: detecting objects as paired keypoints[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11218, 765-781(2018).

    [16] Zhou X Y, Wang D Q, Krähenbühl P. Objects as points[EB/OL]. (2019-08-16)[2020-04-02]. https:// arxiv.org/abs/1904.07850

    [17] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).

    [18] Zeiler M D, Krishnan D, Taylor G W et al. Deconvolutional networks[C]. //2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA., 2528-2535(2010).

    [19] Cheng G, Han J W, Zhou P C et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 119-132(2014).

    Yanlei Xu, Jiran Liang, Guojun Dong, Zhuang Chen. Aerial Image Target Detection Algorithm Based on Improved CenterNet[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2010013
    Download Citation