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 | 98 | 2022 |
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 | 15 | 2022 |
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 | 12 | 2017 |
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 | 10 | 2019 |
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 | 6 | 2021 |
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 | 2 | 2022 |
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 |