Electronics Optics & Control, Volume. 32, Issue 4, 37(2025)

An Improved Vovnet Remote Sensing Target Detection Algorithm Based on Context Information Fusion

ZHANG Zhaoheng1... LIU Yunqing1,2, YAN Fei1,2, and ZHANG Qiong12 |Show fewer author(s)
Author Affiliations
  • 1School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130000, China
  • 2Jilin Provincial Science and Technology Innovation Center of Intelligent Perception and Information Processing, Changchun 130000, China
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    References(13)

    [2] [2] LIU Y H, FENG X. Overview of aircraft target detection methods based on remote sensing images[J]. International Core Journal of Engineering, 2021, 7(7): 428-438.

    [4] [4] REN S Q, HE K M, ROSS G, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

    [5] [5] 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). Las Vegas: IEEE, 2016: 779-788.

    [6] [6] LAW H, DENG J. Cornernet: detecting objects as paired keypoints[C]//Proceedings of the European Conference on Computer Vision (ECCV). Cham: Springer, 2018: 734-750.

    [7] [7] ZHOU X Y, WANG D Q, KRHENBHL P. Objects as points[R]. Los Alamos: arXiv Preprint, 2019: arXiv: 1904. 07850.

    [8] [8] LEE Y W, HWANG J-W, LEE S, et al. An energy and GPU-computation efficient backbone network for real-time object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops(CVPRW). Long Beach: IEEE, 2019: 752-760.

    [9] [9] LI Y H, YAO T, PAN Y W, et al. Contextual transformer networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(2): 1489-1500.

    [10] [10] LIN T-Y, DOLLR P, GIRSHICK R, et al. Feature pyramid networks for object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017: 2117-2125.

    [11] [11] CAO J M, LI Y Y, SUN M C, et al. Do-Conv: depthwise over-parameterized convolutional layer[J]. IEEE Transactions on Image Processing, 2022, 31: 3726-3736.

    [13] [13] PARK H-J, KANG J-W, KIM B-G. ssFPN: scale sequence (S2) feature-based feature pyramid network for object detection[J]. Sensors, 2023, 23(9): 4432.

    [14] [14] ZHU P F, WEN L Y, DU D W, et al. Detection and tracking meet drones challenge[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(11): 7380-7399.

    [15] [15] GE Z, LIU S T, WANG F, et al. YOLOX: exceeding YOLO series in 2021[R]. Los Alamos: arXiv Preprint, 2021: arXiv: 2107. 08430.

    [16] [16] LYU C Q, ZHANG W W, HUANG H A, et al. RTMDet: an empirical study of designing real-time object detectors[R]. Los Alamos: arXiv Preprint, 2022: arXiv: 2212. 07784.

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    ZHANG Zhaoheng, LIU Yunqing, YAN Fei, ZHANG Qiong. An Improved Vovnet Remote Sensing Target Detection Algorithm Based on Context Information Fusion[J]. Electronics Optics & Control, 2025, 32(4): 37

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    Paper Information

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    Received: Mar. 22, 2024

    Accepted: Apr. 11, 2025

    Published Online: Apr. 11, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.04.006

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