Article Versions Notes

Li B, Lu H, Wang H, Qi J, Yang G, Pang Y, Dong H, Lian Y. Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments. Remote Sensing. 2022; 14(22):5798. https://doi.org/10.3390/rs14225798

Li, Bowen, Hao Lu, Han Wang, Jianbo Qi, Gang Yang, Yong Pang, Haolin Dong, and Yining Lian. 2022. "Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments" Remote Sensing 14, no. 22: 5798. https://doi.org/10.3390/rs14225798

Li, B., Lu, H., Wang, H., Qi, J., Yang, G., Pang, Y., Dong, H., & Lian, Y. (2022). Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments. Remote Sensing, 14(22), 5798. https://doi.org/10.3390/rs14225798