• Acta Optica Sinica
  • Vol. 40, Issue 10, 1015002 (2020)
Fang Liu, Zhiwei Wu*, Anzhe Yang, and Xiao Han
Author Affiliations
  • Information Department, Beijing University of Technology, Beijing 100022, China
  • show less
    DOI: 10.3788/AOS202040.1015002 Cite this Article Set citation alerts
    Fang Liu, Zhiwei Wu, Anzhe Yang, Xiao Han. Multi-Scale Feature Fusion Based Adaptive Object Detection for UAV[J]. Acta Optica Sinica, 2020, 40(10): 1015002 Copy Citation Text show less
    References

    [1] Vaddi S, Kumar C D. -05-30)[2019-12-15]. https:∥arxiv., org/abs/1906, 00786(2019).

    [2] Pei W, Xu Y M, Zhu Y Y et al. The target detection method of aerial photography images with improved SSD[J]. Journal of Software, 30, 738-758(2019).

    [3] Wang J C, Tan X C, Wang Z H et al. Faster R-CNN deep learning network based object recognition of remote sensing image[J]. Journal of Geo-Information Science, 20, 1500-1508(2018).

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

    [5] Lin T Y, Dollar P, Girshick R et al. Feature pyramid networks for object detection. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2117-2125(2017).

    [6] Li J, Dai Y R, Li C C et al. Visual detail augmented mapping for small aerial target detection[J]. Remote Sensing, 11, 14(2018).

    [7] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

    [8] Wang J Q, Chen K, Yang S et al. Region proposal by guided anchoring. [C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 2965-2974(2019).

    [9] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 1-9(2015).

    [10] Howard A, Zhu M L, Chen B et al. -04-17)[2019-12-15]. https: ∥arxiv., org/abs/1704, 04861(2017).

    [11] Ma Q, Zhu B, Cheng Z D et al. Detection and recognition method of fast low-altitude unmanned aerial vehicle based on dual channel[J]. Acta Optica Sinica, 39, 1210002(2019).

    [12] Ren Y, Zhu C R, Xiao S P. Small object detection in optical remote sensing images via modified faster R-CNN[J]. Applied Sciences, 8, 813(2018).

    [13] Liu W, Anguelov D, Erhan D et al[M]. SSD: single shot MultiBox detector, 21-37(2016).

    [14] Li C H, Ru L, He L Y[2019-12-15]. The region proposal network target detection method with variable anchor box Journal of Beijing University of Aeronautics and Astro: 1-8[2019-12-15]. https: ∥doi.org/10.13700/j.bh.1001-5965., 0531(2019).

    [15] Wu T S, Zhang Z J, Liu Y P et al. A lightweight small object detection algorithm based on improved SSD[J]. Infrared and Laser Engineering, 47, 0703005(2018).

    [16] Dai J F, Li Y, He K M et al. -05-20)[2019-12-15]. https: ∥arxiv.xilesou., top/abs/1605, 06409(2016).

    [17] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 2980-2988(2017).

    [18] Zhu P F, Wen L Y, Bian X et al. -04-20)[2019-12-15]. https: ∥arxiv., org/abs/1804, 07437(2018).

    [19] Everingham M. Eslami S M A, van Gool L, et al. The PASCAL visual object classes challenge: a retrospective[J]. International Journal of Computer Vision, 111, 98-136(2015).

    [20] Ren SQ, 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).

    [21] Redmon J. -04-08)[2019-12-15]. https: ∥arxiv., org/abs/1804, 02767(2018).

    [22] Law H, Deng J. CornerNet: detecting objects as paired keypoints[J]. International Journal of Computer Vision, 128, 642-656(2020).

    [23] Yao Q L, Hu X, Lei H. Objectdetection in remote sensing images using multiscale convolutional neural networks[J]. Acta Optica Sinica, 39, 1128002(2019).

    CLP Journals

    [1] WU Jing, HAN Luxin, SHEN Ying, WANG Shu, HUANG Feng. UAV Aerial Target Detection Based on Improved YOLOv4-tiny[J]. Electronics Optics & Control, 2022, 29(12): 112

    [2] Jiang Man, Zhang Haoxiang, Cheng Deqiang, Guo Lin, Kou Qiqi, Zhao Lei. Multi-scale image retrieval based on HSV and directional gradient features[J]. Opto-Electronic Engineering, 2021, 48(11): 210310

    Fang Liu, Zhiwei Wu, Anzhe Yang, Xiao Han. Multi-Scale Feature Fusion Based Adaptive Object Detection for UAV[J]. Acta Optica Sinica, 2020, 40(10): 1015002
    Download Citation