Synthetic aperture radar image ship classification based on ViT-CNN hybrid network

被引：0
|
作者：
Shao, Ran [1 ,2 ]
Bi, Xiaojun [3 ,4 ]
机构：
[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin,150001, China
[2] College of Electronic and Information Engineering, Harbin Vocational & Technical College, Harbin,150001, China
[3] Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing,100081, China
[4] School of Information Engineering, Minzu University of China, Beijing,100081, China
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2024年 / 45卷 / 08期
关键词：
Compendex;
D O I：
10.11990/jheu.202312026
中图分类号：
学科分类号：
摘要：
Radar imaging
引用
收藏
页码：1616 / 1623
相关论文
共 50 条
  • [1] Hybrid ViT-CNN Network for Fine-Grained Image Classification
    Shao, Ran
    Bi, Xiao-Jun
    Chen, Zheng
    IEEE SIGNAL PROCESSING LETTERS, 2024, 31 : 1109 - 1113
  • [2] Ship classification in synthetic aperture radar based on SVM
    Wang, J
    Gong, XJ
    Ci, LL
    Yao, KZ
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 5747 - 5750
  • [3] Synthetic Aperture Radar-based Ship Classification using CNN and Traditional Handcrafted Features
    Nehary, E. A.
    Dey, Ankita
    Rajan, Sreeraman
    Balaji, Bhashyam
    Damini, Anthony
    Chanchlani, Rajkumar
    2023 IEEE SENSORS APPLICATIONS SYMPOSIUM, SAS, 2023,
  • [4] SRAD-CNN for adaptive synthetic aperture radar image classification
    Zhang Anjun
    Yang, Xuezhi
    Jia, Lu
    Ai, Jiaqiu
    Xia, Jingfan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (09) : 3461 - 3485
  • [5] Polarimetric Synthetic Aperture Radar Image Classification by a Hybrid Method
    Kamran Ullah Khan
    杨建
    TsinghuaScienceandTechnology, 2007, (01) : 97 - 104
  • [6] Polarimetric Synthetic Aperture Radar Image Classification by a Hybrid Method
    Khan, Kamran Ullah
    Yang, Jian
    Tsinghua Science and Technology, 2007, 12 (01) : 97 - 104
  • [7] Curvelet-Based Synthetic Aperture Radar Image Classification
    Uslu, Erkan
    Albayrak, Songul
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (06) : 1071 - 1075
  • [8] Supervised classification for synthetic aperture radar image
    Universite de Nice-Sophia Antipolis, Sophia Antipolis, France
    ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, (3529-3532):
  • [9] Supervised classification for synthetic aperture radar image
    Dupuis, X
    Mathieu, P
    Barlaud, M
    ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 3529 - 3532
  • [10] SYNTHETIC APERTURE RADAR IMAGE ENHANCEMENT BASED ON RESIDUAL NETWORK
    Zhu, Yunfei
    Huang, Yulin
    Mao, Deqing
    Wang, Wenjing
    Pei, Jifang
    Zhang, Yongchao
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 7973 - 7976
12345