Transmission Tower Classification Using Point Cloud Similarity
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10047-5_54
Reference8 articles.
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2. Zhang, R., Yang, B., Xiao, W., Liang, F., Liu, Y., Wang, Z.: Automatic extraction of high-voltage power transmission objects from UAV Lidar point clouds. Remote. Sens. 11, 2600 (2019)
3. Lu, Z., Gong, H., Jin, Q., Hu, Q., Wang, S.: A Transmission tower tilt state assessment approach based on dense point cloud from UAV-based LiDAR. Remote Sens. 14(2), 408 (2022). https://doi.org/10.3390/rs14020408
4. Wang, Y., Chen, Q., Liu, L., Zheng, D., Li, C., Li, K.: Supervised classification of power lines from Airborne LiDAR data in urban areas. Remote Sens. 9, 771 (2017). https://doi.org/10.3390/rs9080771
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