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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)

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Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Study of an SCSG-OSM for the Creation of an Urban Three-Dimensional Building.G. Zhou, T. Yue, Y. Huang, B. Song, K. Chen, H. He, J. Ni, L. Zhang, and Q. Pan. IEEE Access, (2020)Large-Scale Oceanic Dynamic Field Visualization Based on WebGL.D. Fan, T. Liang, H. He, M. Guo, and M. Wang. IEEE Access, (2023)An independent wavelet reconstruction implementation for image fusion.H. He, and D. Richardson. IGARSS, page 740-742. IEEE, (2003)Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images.Y. Li, B. Fu, X. Sun, D. Fan, Y. Wang, H. He, E. Gao, W. He, and Y. Yao. Remote. Sens., 14 (21): 5533 (2022)Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods.M. Cai, J. Li, L. Liu, L. Huang, L. Zhou, L. Huang, and H. He. Remote. Sens., 14 (15): 3762 (2022)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 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)Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data.B. Fu, M. Liu, H. He, F. Lan, X. He, L. Liu, L. Huang, D. Fan, M. Zhao, and Z. Jia. 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)Cross-term suppression of multi-component signals based on improved STFT-Wigner.Q. Zhu, Y. Li, H. He, and G. Huang. IWCMC, page 1082-1086. IEEE, (2020)

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Disambiguation of "He, Hongchang"

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An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Hongchang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

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

An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data.