TUP2.PL.4
HYDROQUEEN: HYDROLOGICAL DETECTION USING CYGNSS AND QUANTUM DEEP AI
Chia-Hsiang Lin, Po-Ying Chiu, Jhao-Ting Lin, Shih-Ping Chen, Charles Chien-Hung Lin, National Cheng Kung University, Taiwan
Session:
TUP2.PL: Modeling in GNSS-R and other Signals-of-Opportunity Systems I Poster
Track:
Community-Contributed Sessions
Location:
Plaza Ballroom: Poster Area L
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Session Co-Chairs:
James Campbell, University of Southern California and Kegen Yu, China University of Mining and Technology
Session TUP2.PL
TUP2.PL.1: A Cross-correlation Interference Suppression Method in GNSS-R Aircraft Detection System
Fan Xu, Shengwei Li, Xianxian Luo, Shiyang Tang, Chenhao Jiang, Xintian Zhang, Feng Luo, Linrang Zhang, Xidian University, China
TUP2.PL.2: VEGETATION WATER CONTENT INVERSION BASED ON FY-3E AND CYGNSS DATA
Chuanchi Hao, Kegen Yu, Kun Zhang, Nianfu Xu, Changyang Wang, Zhaoyun Xie, China University of Mining and Technology, China
TUP2.PL.3: EVALUATING DESIGN TRADE-OFFS IN P-BAND UAS-BASED SIGNALS OF OPPORTUNITY SYSTEMS: A SIMULATION STUDY
Tanvir Anjum, Mehmet Kurum, University of Georgia, United States; Ali C. Gurbuz, North Carolina State University, United States; Dylan R. Boyd, NASA Goddard Space Flight Center, United States
TUP2.PL.4: HYDROQUEEN: HYDROLOGICAL DETECTION USING CYGNSS AND QUANTUM DEEP AI
Chia-Hsiang Lin, Po-Ying Chiu, Jhao-Ting Lin, Shih-Ping Chen, Charles Chien-Hung Lin, National Cheng Kung University, Taiwan
Resources