Jie Xuan
According to our database1,
Jie Xuan
authored at least 9 papers
between 2017 and 2024.
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Bibliography
2024
Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Estimation aboveground biomass in subtropical bamboo forests based on an interpretable machine learning framework.
Environ. Model. Softw., 2024
2023
A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism.
Remote. Sens., September, 2023
Intelligent Estimating the Tree Height in Urban Forests Based on Deep Learning Combined with a Smartphone and a Comparison with UAV-LiDAR.
Remote. Sens., January, 2023
Tree Species Classifications of Urban Forests Using UAV-LiDAR Intensity Frequency Data.
Remote. Sens., January, 2023
2022
Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar Coupled with Canopy Volume.
Remote. Sens., December, 2022
Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar.
Remote. Sens., 2022
Generalized interval estimation of process capability indices for the Birnbaum-Saunders distribution.
Qual. Reliab. Eng. Int., 2022
2017
An Improved Algorithm of Individuation K-Anonymity for Multiple Sensitive Attributes.
Wirel. Pers. Commun., 2017