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Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods.

L. Deng, B. Fu, Y. Wu, H. He, W. Sun, M. Jia, T. Deng, and D. Fan. Int. J. Appl. Earth Obs. Geoinformation, (December 2023)

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Bolin Fan

Manfred Bolin

Norbert Bolín

Regine Bölinger

Marina Bolinski

Other publications of authors with the same name

An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data.P. Lou, B. Fu, H. He, J. Chen, T. Wu, X. Lin, L. Liu, D. Fan, and T. Deng. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images.B. Fu, X. He, H. Yao, Y. Liang, T. Deng, H. He, D. Fan, G. Lan, and W. He. Int. J. Appl. Earth Obs. Geoinformation, (2022)Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm.Y. Zhang, B. Fu, X. Sun, H. Yao, S. Zhang, Y. Wu, H. Kuang, and T. Deng. Remote. Sens., 15 (16): 4003 (August 2023)Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm.H. Yao, B. Fu, Y. Zhang, S. Li, S. Xie, J. Qin, D. Fan, and E. Gao. Remote. Sens., 14 (21): 5478 (2022)Spatio-Temporal Evolution Monitoring and Analysis of Tidal Flats in Beibu Gulf From 1987 to 2021 Using Multisource Remote Sensing.E. Gao, G. Zhou, S. Li, B. Fu, Y. Xiao, Y. Lan, F. Wang, J. Xu, Q. Zhu, and Y. Bai. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements.L. Guo, L. Huang, J. Li, L. Liu, L. Huang, B. Fu, S. Xie, H. He, and C. Ren. Remote. Sens., 13 (15): 3008 (2021)An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data.P. Lou, B. Fu, H. He, Y. Li, T. Tang, X. Lin, D. Fan, and E. Gao. Remote. Sens., 12 (8): 1270 (2020)Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images.Y. Li, T. Deng, B. Fu, Z. Lao, W. Yang, H. He, D. Fan, W. He, and Y. Yao. Remote. Sens., 14 (22): 5869 (2022)Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series.B. Fu, Y. Liang, Z. Lao, X. Sun, S. Li, H. He, W. Sun, and D. Fan. Int. J. Appl. Earth Obs. Geoinformation, (August 2023)Recognition of thaw slumps based on machine learning and UAVs: A case study in the Qilian Mountains, northeastern Qinghai-Tibet Plateau.P. Lou, T. Wu, J. Chen, B. Fu, X. Zhu, J. Chen, X. Wu, S. Yang, R. Li, X. Lin and 5 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (February 2023)

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Disambiguation of "Fu, Bolin"

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URL
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Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods.

Please choose a person to relate this publication to

Bolin Fan

Manfred Bolin

Norbert Bolín

Regine Bölinger

Marina Bolinski

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fu, Bolin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods.

Please choose a person to relate this publication to

Bolin Fan

Manfred Bolin

Norbert Bolín

Regine Bölinger

Marina Bolinski

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods.