Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 3, 121(2025)

Estimation of Wind Turbine Height in High Resolution Remote Sensing Images

Peng ZHANG1,2,3, Yun HOU1,2,3, Yuanshuai DONG1,2,3, Li CUI1,2,3, Lin HU1,2,3, Yijie MA4, and Chujiang LIAO5、*
Author Affiliations
  • 1Zhongzi Data Co., Ltd., Beijing 100089, China
  • 2China Highway Engineering Consulting Corporation Co., Ltd., Beijing 100089, China
  • 3Space Information Application and Disaster Prevention and Mitigation Technology Transportation Industry Research and Development Center, Beijing 100089, China
  • 4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 5Key Projects Engineering Center of State Administration of Science, Technology and Industry for National Defense, Beijing 100101, China
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    Figures & Tables(13)
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    • Table 1. Comparison of various evaluation metrics of different models %

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      Table 1. Comparison of various evaluation metrics of different models %

      模型PRIoU
      DeepLabv3+(Xception)90.1391.4484.39
      DeepLabv3+(MobileNetv2)90.9092.9686.03
      本文模型91.8094.8888.04
    • Table 2. The mean relative errors of different models %

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      Table 2. The mean relative errors of different models %

      模型训练数据测试数据
      多元线性回归模型4.545.42
      随机森林回归模型1.985.33
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    Peng ZHANG, Yun HOU, Yuanshuai DONG, Li CUI, Lin HU, Yijie MA, Chujiang LIAO. Estimation of Wind Turbine Height in High Resolution Remote Sensing Images[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(3): 121

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    Paper Information

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    Received: Sep. 13, 2024

    Accepted: Sep. 13, 2024

    Published Online: Jul. 1, 2025

    The Author Email: Chujiang LIAO (surveyandmap@163.com)

    DOI:10.3969/j.issn.1009-8518.2025.03.012

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