Global offshore wind turbine detection: a combined application of deep learning and Google earth engine

Author:

Zhang Shuai1ORCID,Wang Fangxiong12ORCID,Hou Yingzi12,Wang Junfu1,Guo Jianke3

Affiliation:

1. School of Geography, Liaoning Normal University, Dalian, China

2. Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian, China

3. Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, China

Publisher

Informa UK Limited

Reference36 articles.

1. Exploring the dynamic nexus between renewable energy, poverty alleviation, and environmental pollution: fresh evidence from E-9 countries

2. Cao, H., Y. Wang, J. Chen, D. Jiang, X. Zhang, Q. Tian, and M. Wang. 2022. “Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation.” European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 205–218. Springer.

3. Chen J. Y. Lu Q. Yu X. Luo E. Adeli Y. Wang L. Lu A. L. Yuille and Y. Zhou. 2021. “Transunet: Transformers Make Strong Encoders for Medical Image Segmentation.” arXiv preprint arXiv:2102.04306.

4. Green development strategy of offshore wind farm in China guided by life cycle assessment

5. The regional economic impacts of offshore wind energy developments in Scotland

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