TU4.R10.5
Comparative Analysis of Sparse and Dense Matching Algorithms for Sub-pixel Precision in Heterogeneous Satellite Image Registration
Jaewon Hur, Han-Gyeol Kim, Jaewan Park, TelePIX, Korea (South)
Session:
TU4.R10: Image Analysis and Data Fusion: The AI Era Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 17:15 - 17:30
Presentation
Discussion
Resources
No resources available.
Session TU4.R10
TU4.R10.1: Spatial Web architecture for multi-agent observation, feature, and decision fusion
George Percivall, GeoRoundtable, United States; Stephane Fellah, Geo(k)noesis, United States
TU4.R10.2: High-Resolution L-Band VOD Retrieval Using GNSS-T–Calibrated Multi-Sensor Fusion and Self-Supervised Learning
Mahya G.Z Hashemi, John D Bolten, Nasa Goddard Space Flight Center, United States; Alexandra G. Konings, Stanford University, United States; Thomas R. Holmes, Nasa Goddard Space Flight Center, United States; Vincent Humphrey, University of Zurich, Switzerland; Andrew F. Feldman, Nasa Goddard Space Flight Center, United States; Yitong Yao, Columbia University, United States; Michael Niederberger, Alexander Damm, University of Zürich, Switzerland
TU4.R10.3: LANDMUSIQ: IMAGE SCORING NETWORK FOR URBAN VIBRANCY ESTIMATION LEVERAGING IMAGE CAPTURE CONDITION
Akira Matsuki, Chisato Otsuka, Kazufumi Kojima, Keisuke Ikeda, Eiki Ishidera, Kenta Senzaki, NEC Corporation, Japan
TU4.R10.4: Super-Res Tanager: A Deep Learning Based Sharpening Approach For Tanager Hyperspectral Images
Caglar Senaras, Keely Roth, Maddie Grady, Annett Wania, Planet Labs, Netherlands
TU4.R10.5: Comparative Analysis of Sparse and Dense Matching Algorithms for Sub-pixel Precision in Heterogeneous Satellite Image Registration
Jaewon Hur, Han-Gyeol Kim, Jaewan Park, TelePIX, Korea (South)
Contacts