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Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.

M. Liu, B. Fu, D. Fan, P. Zuo, S. Xie, H. He, L. Liu, L. Huang, E. Gao, and M. Zhao. Int. J. Appl. Earth Obs. Geoinformation, (2021)

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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)Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images.B. Fu, X. Sun, Y. Li, Z. Lao, T. Deng, H. He, W. Sun, and G. Zhou. Int. J. Digit. Earth, 16 (1): 2724-2761 (December 2023)Estimation and trend analysis of carbon emissions from forest fires in mainland China from 2011 to 2021.D. Fan, M. Wang, T. Liang, H. He, Y. Zeng, and B. Fu. Ecol. Informatics, (2024)Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data.B. Fu, Y. Wu, S. Zhang, W. Sun, M. Jia, T. Deng, H. He, B. Yuan, D. Fan, and Y. Wang. Int. J. Appl. Earth Obs. Geoinformation, (2024)Estimation of daytime all-sky sea surface temperature from Himawari-8 based on multilayer stacking machine learning.H. He, D. Fan, R. Wang, X. Lyu, B. Fu, Y. Huang, and J. Sheng. Int. J. Appl. Earth Obs. Geoinformation, (2024)Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.M. Liu, B. Fu, D. Fan, P. Zuo, S. Xie, H. He, L. Liu, L. Huang, E. Gao, and M. Zhao. Int. J. Appl. Earth Obs. Geoinformation, (2021)Comparison of leaf chlorophyll content retrieval performance of citrus using FOD and CWT methods with field-based full-spectrum hyperspectral reflectance data.B. Xiao, S. Li, S. Dou, H. He, B. Fu, T. Zhang, W. Sun, Y. Yang, Y. Xiong, J. Shi and 1 other author(s). Comput. Electron. Agric., (2024)An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment.F. Wang, G. Zhou, J. Xie, B. Fu, H. You, J. Chen, X. Shi, and B. Zhou. Remote. Sens., 15 (9): 2432 (May 2023)Estimation of Coastal Wetland Vegetation Aboveground Biomass by Integrating UAV and Satellite Remote Sensing Data.X. Niu, B. Chen, W. Sun, T. Feng, X. Yang, Y. Liu, W. Liu, and B. Fu. Remote. Sens., 16 (15): 2760 (August 2024)

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Disambiguation of "Fu, Bolin"

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Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.

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 Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.

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
Harvard
MSOffice XML

Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.