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Volume 39 Issue 1
Jan.  2021
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Article Navigation >  DIGITAL TECHNOLOGY & APPLICATION  > 2021  >  39(1): 137-139
ZENG Shi-lun, WANG Xiao-fan, CHEN Liang, ZHU Li-peng, LI Jian-bing. Data Acquisition System of Power Grid 3D Information Based on UAV LidarAerial Remote Sensing[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 137-139. doi: 10.19695/j.cnki.cn12-1369.2021.01.42
Citation: ZENG Shi-lun, WANG Xiao-fan, CHEN Liang, ZHU Li-peng, LI Jian-bing. Data Acquisition System of Power Grid 3D Information Based on UAV Lidar Aerial Remote Sensing[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 137-139. doi: 10.19695/j.cnki.cn12-1369.2021.01.42
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Data Acquisition System of Power Grid 3D Information Based on UAV Lidar Aerial Remote Sensing

doi: 10.19695/j.cnki.cn12-1369.2021.01.42

  • State Grid Sichuan Electric Power Company Meishan Power Supply Company Meishan, Meishan Sichuan 620010

  • Received Date: 2020-12-07
  • Rev Recd Date: 2021-01-17
    • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
    Abstract
  • With the development of UAV, the integration of three-dimensional data acquisition and the development of UAV in time and space has been broken through. Based on this, this paper studies the power grid 3D information data acquisition system based on UAV lidar aerial remote sensing.

     

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    • References(3)
  • [1]
    Christian Szegedy,Wojciech Zaremba,Ilya Sutskever, et al. Intriguing properties of neural networks[C].Proceedings of ICLR,Banff,Canada,2014:1-10.
    [2]
    陈慧敏.基于对抗训练的文本情感分析研究[D].厦门:华侨大学,2019.
    [3]
    Ji Gao,Jack Lanchantin,Mary Lou Soffa,et al. Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers[C].Proceedings of SPW, San Francisco,Ca,USA,2018:50-56.
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