A Deep Learning Approach to Synthetic Aperture Vector Flow Imaging

被引：0
|
作者：
Stanziola, Antonio [1 ]
Robins, Thomas [1 ]
Riemer, Kai [1 ]
Tang, Meng-Xing [1 ]
机构：
[1] Imperial Coll London, Dept Bioengn, London, England
来源：
2018 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS) | 2018年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
引用
收藏
页数：1
相关论文
共 50 条
  • [41] Transverse flow imaging using synthetic aperture directional beamforming
    Jensen, JA
    Nikolov, SI
    2002 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, 2002, : 1523 - 1527
  • [42] Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow
    Aditi, K.
    Kumar, A. Anil
    Majumdar, Angshul
    Chakravarty, Tapas
    Kumar, Kriti
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1926 - 1930
  • [43] Inverse Synthetic Aperture Radar Imaging Exploiting Dictionary Learning
    Hu, Changyu
    Wang, Ling
    Loffeld, Otmar
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1084 - 1088
  • [44] An automatic approach for the detection of oil spill using optimized deep learning in synthetic aperture radar images
    Murugan, J. Senthil
    Parthasarathy, V
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (03) : 6772 - 6787
  • [45] A variational approach to waveform design for synthetic-aperture imaging
    Varslot, T.
    Yarman, C. E.
    Cheney, M.
    Yazici, B.
    INVERSE PROBLEMS AND IMAGING, 2007, 1 (03) : 577 - 592
  • [46] Application of a Matched Filter Approach for Finite Aperture Transducers for the Synthetic Aperture Imaging of Defects
    Satyanarayan, L.
    Muralidharan, Ajith
    Krishnamurthy, Chittivenkata
    Balasubramaniam, Krishnan
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2010, 57 (06) : 1368 - 1382
  • [47] A Modified Synthetic Aperture Imaging Approach with Axial Motion Compensation
    Yiu, Billy Y. S.
    Tsang, Ivan K. H.
    Yu, Alfred C. H.
    2008 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4 AND APPENDIX, 2008, : 1254 - 1257
  • [48] Focus Measure for Synthetic Aperture Imaging Using a Deep Convolutional Network
    Pei, Zhao
    Huang, Li
    Zhang, Yanning
    Ma, Miao
    Peng, Yali
    Yang, Yee-Hong
    IEEE ACCESS, 2019, 7 : 19762 - 19774
  • [49] A New Imaging Approach for Burst Mode Synthetic Aperture Radar
    Xu, Wei
    Huang, Pingping
    Deng, Yunkai
    Wang, Robert
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2013, 49 (03) : 2035 - 2045
  • [50] Inverse Synthetic Aperture Radar Imaging Using a Deep ADMM Network
    Hu, Changyu
    Li, Ze
    Wang, Ling
    Guo, Jun
    Loffeld, Otmar
    2019 20TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2019,
12345