Recognizing global reservoirs from Landsat 8 imageries: A Deep Learning Approach
flowchart
W[2018AGUFM.H31K2071F]
LA["Linked Authors (0)"]
LI["Linked Institutions (2)"]
W== author ==>LA
W== affil ==>LI
click LA "#linked-authors"
click LI "#linked-institutions"
Graph neighborhood for 'Recognizing global reservoirs from Landsat 8 imageries: A Deep Learning Approach'. Click aggregate nodes to navigate.
- ADS bibcode
- 2018AGUFM.H31K2071F
- year
- 2018
- Listed Authors
- Fang, W.
- Wang, C.
- Chen, X.
- Wan, W.
- Li, H.
- Zhu, S.
- Fang, Y.
- Liu, B.
- Hong, Y.
- Listed Institutions
- Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
- Department of Hydraulic Engineering, Tsinghua University, Beijing, China
- Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
- Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
- Department of Hydraulic Engineering, Tsinghua University, Beijing, China
- Department of Hydraulic Engineering, Tsinghua University, Beijing, China
- Department of Hydraulic Engineering, Tsinghua University, Beijing, China
- Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
- Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China
Linked Authors [?]
Linked Institutions