Aiming at the problem of low detection accuracy of small remote sensing image targets with small size and unobvious features in existing target detection algorithms, a small target detection algorithm based on improved yolo_v4 is proposed. The algorithm expands the scale to four during target detection, and removes the feature scale map of the minimum perception field when output; replaces the convolution layer of the feature fusion network with a hole convolution to maintain a higher resolution and a larger receptive field; The deconvolution operation performs up-sampling of high-level features, so that low-level features can learn richer semantic information. The experiment analyzed the remote sensing image with the high-voltage electric tower as the small target, and the average accuracy was increased from 90.06% to 91.47%, indicating that the algorithm can effectively improve the detection accuracy of the small target in the remote sensing image.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Small Target Detection Algorithm in Remote Sensing Image Based on Improved Yolo


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Yi (editor) / Martinsen, Kristian (editor) / Yu, Tao (editor) / Wang, Kesheng (editor) / Peng, Chaoliang (author) / Chu, Xianwu (author) / Wang, Yunming (author) / Gao, Xiue (author)

    Conference:

    International Workshop of Advanced Manufacturing and Automation ; 2020 ; Zhanjiang, China October 12, 2020 - October 13, 2020



    Publication date :

    2021-01-23


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Small Target Detection Algorithm in Remote Sensing Image Based on Improved Yolo

    Peng, Chaoliang / Chu, Xianwu / Wang, Yunming et al. | TIBKAT | 2021



    APPLICATION OF IMPROVED TARGET DETECTION ALGORITHM IN AERIAL REMOTE SENSING IMAGE

    Du, Wenyuan / Guo, Chengjun / Zhou, Dong | TIBKAT | 2022


    Ship detection based on improved YOLO algorithm

    Zhang, Xiaoqing / Zhang, Zhiqiang | IEEE | 2023


    YOLO Target Detection Algorithm with Deformable Convolution Kernel

    Wang, Hui / Zhang, Shuai / Yu, Lijun et al. | British Library Conference Proceedings | 2021