SAR Ship Detection Based on Improved YOLOv3

被引：0
|
作者：
Chen, Dong [1 ]
Ju, Yanwei [1 ]
机构：
[1] Nanjing Research Institute of Electronic Technology, Nanjing, China
来源：
IET Conference Proceedings | 2020年 / 2020卷 / 09期
关键词：
Complex background - Convolutional networks - Deformable convolutional network - Detection methods - Generalization ability - Resnet50-d - SAR ship detection - Ship detection - Shufflenetv2 - YOLOv3;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
20
引用
收藏
页码：929 / 934
相关论文
共 50 条
  • [1] Ship detection in SAR image based on improved YOLOv3
    Chen D.
    Ju Y.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2021, 43 (04): : 937 - 943
  • [2] Rapid Ship Detection in SAR Images Based on YOLOv3
    Zhu, Mingming
    Hu, Guoping
    Zhou, Hao
    Lu, Chunguang
    2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), 2020, : 214 - 218
  • [3] HIGH-SPEED SHIP DETECTION IN SAR IMAGES BY IMPROVED YOLOV3
    Zhang, Tianwen
    Zhang, Xiaoling
    Shi, Jun
    Wei, Shunjun
    2019 16TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICWAMTIP), 2019, : 149 - 152
  • [4] Ship Detection: An Improved YOLOv3 Method
    Cui, Haiying
    Yang, Yang
    Liu, Mingyong
    Shi, Tingchao
    Qi, Qian
    OCEANS 2019 - MARSEILLE, 2019,
  • [5] An Improved YOLOv3 Model for Arbitrary-oriented Ship Detection in SAR Image
    Xu Y.
    Gu Y.
    Peng D.
    Liu J.
    Chen H.
    Binggong Xuebao/Acta Armamentarii, 2021, 42 (08): : 1698 - 1707
  • [6] Improved YOLOv3 Algorithm for Ship Target Detection
    Chen, Liankai
    Li, Bangyu
    Qi, Liang
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 7288 - 7293
  • [7] A SAR Image Building Detection Algorithm Based on Improved YOLOv3
    Li X.
    Su J.
    Yang L.
    Su, Juan (suj04@mails.tsinghua.edu.cn), 1600, China Ordnance Society (41): : 1347 - 1359
  • [8] Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image
    Chen, Dehai
    Sun, Shiru
    Lei, Zhijun
    Shao, Heng
    Wang, Yuzhao
    JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [9] Ship Detection with Lightweight Network Based on YOLOV3
    Kong, Decheng
    Wang, Ping
    Wei, Xiang
    Xu, Zeyu
    INTERNATIONAL CONFERENCE ON MECHANICAL DESIGN AND SIMULATION (MDS 2022), 2022, 12261
  • [10] Lightweight Ship Detection Methods Based on YOLOv3 and DenseNet
    Li, Zhelin
    Zhao, Lining
    Han, Xu
    Pan, Mingyang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020 (2020)
12345