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Ting Yun
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2020 – today
- 2024
- [j17]Ting Yun, Jian Li, Lingfei Ma, Ji Zhou, Ruisheng Wang, Markus P. Eichhorn, Huaiqing Zhang
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Status, advancements and prospects of deep learning methods applied in forest studies. Int. J. Appl. Earth Obs. Geoinformation 131: 103938 (2024) - [j16]Yuanfeng Gao, Ting Yun, Bangqian Chen, Hongyan Lai, Xincheng Wang, Guizhen Wang, Xiangjun Wang, Zhixiang Wu, Weili Kou:
Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm. Int. J. Appl. Earth Obs. Geoinformation 131: 103941 (2024) - [j15]Xincheng Wang, Bangqian Chen
Early identification of immature rubber plantations using Landsat and Sentinel satellite images. Int. J. Appl. Earth Obs. Geoinformation 133: 104097 (2024) - [j14]Yunfeng Zhu
Synergizing a Deep Learning and Enhanced Graph-Partitioning Algorithm for Accurate Individual Rubber Tree-Crown Segmentation from Unmanned Aerial Vehicle Light-Detection and Ranging Data. Remote. Sens. 16(15): 2807 (2024) - 2023
- [j13]Xin Li, Xincheng Wang, Yuanfeng Gao, Jiuhao Wu, Renxi Cheng, Donghao Ren, Qing Bao, Ting Yun
Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China. Remote. Sens. 15(13): 3447 (2023) - 2022
- [j12]Bangqian Chen, Ting Yun
Correction: Chen et al. High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China. Remote Sens. 2020, 12, 3853. Remote. Sens. 14(19): 5044 (2022) - [j11]Zhichao Wang, Xin Lu, Feng An, Lijun Zhou, Xiangjun Wang, Zhihao Wang, Huaiqing Zhang, Ting Yun:
Integrating Real Tree Skeleton Reconstruction Based on Partial Computational Virtual Measurement (CVM) with Actual Forest Scenario Rendering: A Solid Step Forward for the Realization of the Digital Twins of Trees and Forests. Remote. Sens. 14(23): 6041 (2022) - 2021
- [j10]Hao Liu
Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1603-1618 (2021) - [j9]Sheng Xu
Separation of Wood and Foliage for Trees From Ground Point Clouds Using a Novel Least-Cost Path Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6414-6425 (2021) - 2020
- [j8]Zhixian Huang, Xiao Huang, Jiangchuan Fan, Markus P. Eichhorn
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data. Remote. Sens. 12(8): 1318 (2020)
2010 – 2019
- 2019
- [j7]Qiangfa Xu, Lin Cao
Extraction of Leaf Biophysical Attributes Based on a Computer Graphic-based Algorithm Using Terrestrial Laser Scanning Data. Remote. Sens. 11(1): 15 (2019) - [j6]Lin Cao
Estimating Tree Volume Distributions in Subtropical Forests Using Airborne LiDAR Data. Remote. Sens. 11(1): 97 (2019) - [j5]Zhen Cao, Dong Chen
A Flexible Architecture for Extracting Metro Tunnel Cross Sections from Terrestrial Laser Scanning Point Clouds. Remote. Sens. 11(3): 297 (2019) - [j4]Ting Yun
Rubber Tree Crown Segmentation and Property Retrieval Using Ground-Based Mobile LiDAR after Natural Disturbances. Remote. Sens. 11(8): 903 (2019) - [j3]Jianli Du, Dong Chen
A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes. IEEE Trans. Geosci. Remote. Sens. 57(6): 4121-4145 (2019) - 2016
- [j2]Lin Cao
Aboveground Biomass Estimation of Individual Trees in a Coastal Planted Forest Using Full-Waveform Airborne Laser Scanning Data. Remote. Sens. 8(9): 729 (2016) - [j1]Ting Yun
A Novel Approach for Retrieving Tree Leaf Area from Ground-Based LiDAR. Remote. Sens. 8(11): 942 (2016) - 2014
- [c1]Qian Wang, Ting Yun, Xiaolong Dong
Super-resolution scatterometer image reconstruction using total variation regularization method. IGARSS 2014: 3065-3068
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