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

Optoelectronics Letters, Volume. 16, Issue 1, 52(2020)

Evaluating the generalization ability of convolutional neural networks for built-up area extraction in different cities of China

Tao ZHANG1 and Hong TANG1,2、*
Author Affiliations
  • 1State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China
  • 2Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    • show less
    Abstract
    Figures&Tables (0)
    Equations (0)
    References (27)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    ZHANG Tao, TANG Hong. Evaluating the generalization ability of convolutional neural networks for built-up area extraction in different cities of China[J]. Optoelectronics Letters, 2020, 16(1): 52

    Download Citation

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

    Received: Apr. 24, 2019

    Accepted: Jun. 13, 2019

    Published Online: Dec. 25, 2020

    The Author Email: Hong TANG (tanghong@bnu.edu.cn)

    DOI:10.1007/s11801-020-9032-2

    Topics

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