Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Acta Optica Sinica, Volume. 39, Issue 4, 0428004(2019)

Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

Zhihuan Wu1,2、*, Yongming Gao3, Lei Li4, and Junshi Xue1
Author Affiliations
  • 1 Graduate School, Space Engineering University, Beijing 101416, China
  • 2 63883 Troops, Luoyang, Henan 471000, China
  • 3 School of Space Information, Space Engineering University, Beijing 101416, China
  • 4 Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (0)
    References (0)
    Cited By (8)
    Tools
    Paper Information
    Topics
    References(0)
    Tools

    Get Citation

    Copy Citation Text

    Zhihuan Wu, Yongming Gao, Lei Li, Junshi Xue. Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images[J]. Acta Optica Sinica, 2019, 39(4): 0428004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 22, 2018

    Accepted: Dec. 29, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0428004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology