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Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2028002(2021)

Deep Learning and Spatial Analysis Based Port Detection

Zeming Li1, Liang Cheng2,3,4,5, Daming Zhu1、*, Zhaojin Yan2,3, Chen Ji2,3, Zhixin Duan2,3, Min Jing2, Ning Li2, Shengkun Dongye1, Yanruo Song1, and Jiahui Liu6
Author Affiliations
  • 1Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China
  • 3Collaborative Innovation Center of South China Sea Studies, Nanjing, Jiangsu 210023, China
  • 4Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu 210023, China
  • 5Jiangsu Center for Collaborative Innovation in Novel Software Technology and Industrialization, Nanjing, Jiangsu 210023, China
  • 6School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan 650051, China
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    Article index updated:May. 20, 2024

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    Zeming Li, Liang Cheng, Daming Zhu, Zhaojin Yan, Chen Ji, Zhixin Duan, Min Jing, Ning Li, Shengkun Dongye, Yanruo Song, Jiahui Liu. Deep Learning and Spatial Analysis Based Port Detection[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2028002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 14, 2020

    Accepted: Jan. 2, 2021

    Published Online: Oct. 15, 2021

    The Author Email: Zhu Daming (634617255@qq.com)

    DOI:10.3788/LOP202158.2028002

    Topics

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