Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons

被引：0
作者：
Zhao, Chenjie [1 ,2 ,3 ]
Liu, Ryan Wen [1 ,2 ,3 ]
Qu, Jingxiang [1 ,2 ]
Gao, Ruobin [4 ]
机构：
[1] Hubei Key Laboratory of Inland Shipping Technology, School of Navigation, Wuhan University of Technology, Wuhan,430063, China
[2] State Key Laboratory of Maritime Technology and Safety, Wuhan,430063, China
[3] Chongqing Research Institute, Wuhan University of Technology, Chongqing, China
[4] School of Civil and Environmental Engineering, Nanyang Technological University, Singapore
来源：
Engineering Applications of Artificial Intelligence | 2024年 / 128卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Object detection in UAV imagery based on deep learning: Review
    Jiang B.
    Qu R.
    Li Y.
    Li C.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2021, 42 (04):
  • [22] Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery
    Nuradili, Pakezhamu
    Zhou, Ji
    Zhou, Guiyun
    Melgani, Farid
    REMOTE SENSING, 2024, 16 (24)
  • [23] Deep learning for unmanned aerial vehicles detection: A review
    Al-lQubaydhi, Nader
    Alenezi, Abdulrahman
    Alanazi, Turki
    Senyor, Abdulrahman
    Alanezi, Naif
    Alotaibi, Bandar
    Alotaibi, Munif
    Razaque, Abdul
    Hariri, Salim
    COMPUTER SCIENCE REVIEW, 2024, 51
  • [24] Affine-Function Transformation-Based Object Matching for Vehicle Detection from Unmanned Aerial Vehicle Imagery
    Cao, Shuang
    Yu, Yongtao
    Guan, Haiyan
    Peng, Daifeng
    Yan, Wanqian
    REMOTE SENSING, 2019, 11 (14)
  • [25] An efficient detector for maritime search and rescue object based on unmanned aerial vehicle images
    Geng, Wanxuan
    Yi, Junfan
    Cheng, Liang
    DISPLAYS, 2025, 87
  • [26] Aircraft detection in satellite imagery using deep learning-based object detectors
    Azam, Basim
    Khan, Muhammad Jaleed
    Bhatti, Farrukh Aziz
    Maud, Abdur Rahman M.
    Hussain, Syed Fawad
    Hashmi, Ali Javed
    Khurshid, Khurram
    MICROPROCESSORS AND MICROSYSTEMS, 2022, 94
  • [27] Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
    Zheng, Shaoxiong
    Wang, Weixing
    Liu, Zeqian
    Wu, Zepeng
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [28] Realization of Detection Algorithms for Key Parts of Unmanned Aerial Vehicle Based on Deep Learning
    Wang, Guangya
    Hong, Hanyu
    Zhang, Yaozong
    Wu, Jinmeng
    Wang, Yunfei
    Li, Shiyang
    2020 12TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2020, : 137 - 142
  • [29] A Survey of Deep Learning-Based Object Detection Methods and Datasets for Overhead Imagery
    Kang, Junhyung
    Tariq, Shahroz
    Oh, Han
    Woo, Simon S.
    IEEE ACCESS, 2022, 10 : 20118 - 20134
  • [30] Deep Learning-Assisted Unmanned Aerial Vehicle Flight Data Anomaly Detection: A Review
    Yang, Lei
    Li, Shaobo
    Zhang, Yizong
    Zhu, Caichao
    Liao, Zihao
    IEEE SENSORS JOURNAL, 2024, 24 (20) : 31681 - 31695
12345