Author of the publication

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

GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning.

X. Liu, W. Bai, G. Tan, F. Huang, J. Xia, C. Yin, Y. Sun, Q. Du, X. Meng, C. Liu, and P. Hu. IEEE Trans. Geosci. Remote. Sens., (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Junming Shao

Junming Zhang

Ying Xia

Zhigao Xia

Xia Wu

Other publications of authors with the same name

An integrated GNSS remote sensing instrument and its first GNSSR airborne experiment.X. Wang, Y. Sun, Q. Du, D. Wang, D. Wu, Y. Cai, C. Wu, W. Bai, J. Xia, and W. Li. IGARSS, page 4827-4830. IEEE, (2016)Error Analysis on Nmf2 Predicted by Iri-2016 Model During Geomagnetic Quiet and Storm Periods.W. Bai, G. Tan, Y. Sun, Q. Du, and J. Xia. IGARSS, page 1927-1930. IEEE, (2019)Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges.X. Wu, W. Ma, J. Xia, W. Bai, S. Jin, and A. Calabia. Remote. Sens., 13 (1): 45 (2021)FY3E GNOS II GNSS Reflectometry: Mission Review and First Results.G. Yang, W. Bai, J. Wang, X. Hu, P. Zhang, Y. Sun, N. Xu, X. Zhai, X. Xiao, J. Xia and 9 other author(s). Remote. Sens., 14 (4): 988 (2022)GNOS-II on Fengyun-3 Satellite Series: Exploration of Multi-GNSS Reflection Signals for Operational Applications.Y. Sun, F. Huang, J. Xia, C. Yin, W. Bai, Q. Du, X. Wang, Y. Cai, W. Li, G. Yang and 16 other author(s). Remote. Sens., 15 (24): 5756 (December 2023)GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning.X. Liu, W. Bai, G. Tan, F. Huang, J. Xia, C. Yin, Y. Sun, Q. Du, X. Meng, C. Liu and 1 other author(s). IEEE Trans. Geosci. Remote. Sens., (2023)Soil Moisture Retrieval from Multi-GNSS Reflectometry on FY-3E GNOS-II by Land Cover Classification.C. Yin, F. Huang, J. Xia, W. Bai, Y. Sun, G. Yang, X. Zhai, N. Xu, X. Hu, P. Zhang and 4 other author(s). Remote. Sens., 15 (4): 1097 (February 2023)Spaceborne GNSS Reflectometry With Galileo Signals on FY-3E/GNOS-II: Measurements, Calibration, and Wind Speed Retrieval.F. Huang, J. Xia, C. Yin, X. Zhai, G. Yang, W. Bai, Y. Sun, Q. Du, X. Wang, T. Qiu and 6 other author(s). IEEE Geosci. Remote. Sens. Lett., (2023)The On-Orbit Performance of FY-3D GNOS.Q. Du, C. Liu, W. Li, C. Liu, F. Li, H. Qiao, Y. Sun, W. Bai, X. Wang, D. Wang and 4 other author(s). IGARSS, page 7669-7671. IEEE, (2019)The Accuracy Assessment and Scientific Research Progress of Ionospheric Radio Occultation Products Observed by Fengyun-3 GNOS.W. Bai, X. Liu, G. Tan, Y. Sun, Q. Du, X. Meng, C. Liu, J. Xia, C. Yin, F. Huang and 1 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)

BibSonomy

Disambiguation of "Xia, Junming"

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

GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning.

Please choose a person to relate this publication to

Junming Shao

Junming Zhang

Ying Xia

Zhigao Xia

Xia Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xia, Junming"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning.

Please choose a person to relate this publication to

Junming Shao

Junming Zhang

Ying Xia

Zhigao Xia

Xia Wu

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

GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning.