TUP2.PM.5
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.PM: Modeling in GNSS-R and other Signals-of-Opportunity Systems I Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Session Co-Chairs:
James Campbell, University of Southern California and Mahta Moghaddam, University of Southern California
Presentation
Discussion
Resources
No resources available.
Session TUP2.PM
TUP2.PM.1: A Pixel-wise Binary Regression Algorithm for GNSS-R Soil Moisture Retrieval to Improve Performance Over Vegetation-Covered Surfaces
Zhounan Dong, School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, China; Shuanggen Jin, School of Surveying and Land Information Engineering, Henan Polytechnic University, China; Dai Chen, Peng wang, School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, China
TUP2.PM.2: A Cross-correlation Interference Suppression Method in GNSS-R Aircraft Detection System
Fan Xu, Shiyang Tang, Chenhao Jiang, Xintian Zhang, Feng Luo, Linrang Zhang, Xidian University, China
TUP2.PM.3: 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.PM.4: 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.PM.5: 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
No resources available.