• Laser & Optoelectronics Progress
  • Vol. 58, Issue 20, 2028002 (2021)
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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    DOI: 10.3788/LOP202158.2028002 Cite this Article Set citation alerts
    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 Copy Citation Text show less
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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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