Follow
Xiaoqiang Liu
Xiaoqiang Liu
Institute of Botany, Chinese Academy of Sciences
Verified email at smail.nju.edu.cn
Title
Cited by
Cited by
Year
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
X Liu, Y Su, T Hu, Q Yang, B Liu, Y Deng, H Tang, Z Tang, J Fang, Q Guo
Remote Sensing of Environment 269, 112844, 2022
982022
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds
X Liu, Q Ma, X Wu, T Hu, Z Liu, L Liu, Q Guo, Y Su
Remote Sensing of Environment 282, 113280, 2022
152022
Airborne laser scanning point clouds filtering method based on the construction of virtual ground seed points
X Liu, Y Chen, L Cheng, M Yao, S Deng, M Li, D Cai
Journal of Applied Remote Sensing 11 (1), 016032-016032, 2017
122017
Hierarchical Classification of Urban ALS Data by Using Geometry and Intensity Information
X Liu, Y Chen, S Li, L Cheng, M Li
Sensors 19 (20), 4583, 2019
102019
Three-Dimensional Urban Land Cover Classification by Prior-Level Fusion of LiDAR Point Cloud and Optical Imagery
Y Chen, X Liu, Y Xiao, Q Zhao, S Wan
Remote Sensing 13 (23), 4928, 2021
62021
Nonscalability of Fractal Dimension to Quantify Canopy Structural Complexity from Individual Trees to Forest Stands
X Liu, Q Ma, X Wu, T Hu, G Dai, J Wu, S Tao, S Wang, L Liu, Q Guo, Y Su
Journal of Remote Sensing 2022, 0001, 2022
22022
Integrating OpenStreetMap tags for efficient LiDAR point cloud classification using graph neural networks
Y Chen, G Li, X Liu, Y Shen, J Li, Q Tian
International Journal of Digital Earth 17 (1), 2297946, 2024
2024
Extraction of Wheat Spike Phenotypes From Field-Collected Lidar Data and Exploration of Their Relationships With Wheat Yield
Z Liu, S Jin, X Liu, Q Yang, Q Li, J Zang, Z Li, T Hu, Z Guo, J Wu, D Jiang, ...
IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–8