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
Session:
TU4.R10: Image Analysis and Data Fusion: The AI Era Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Tuesday, 11 August, 17:00 - 17:15
Session Chair:
Mahya Ghazi Zadeh Hashemi, Nasa Goddard Space Flight Center
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; Stephane Fellah, Geo(k)noesis
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; Alexandra G. Konings, Stanford University; Thomas R. Holmes, Nasa Goddard Space Flight Center; Vincent Humphrey, University of Zurich; Andrew F. Feldman, Nasa Goddard Space Flight Center; Yitong Yao, Columbia University; Michael Niederberger, Alexander Damm, University of Zürich
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
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
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
Resources
No resources available.