WE3.R10.4
Enhancing monocular height estimation via sparse LiDAR-guided correction
Jian Song, Hongruixuan Chen, RIKEN Center for Advanced Intelligence Project (AIP), Japan; Naoto Yokoya, The University of Tokyo, Japan
Session:
WE3.R10: Synthetic Data for Earth Observation: Bridging the Data Gap to Empower Next-Generation Remote Sensing Applications I Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Wednesday, 12 August, 14:30 - 14:45
Session Co-Chairs:
Zhuo Zheng, Stanford and Silvia Liberata Ullo, University of Sannio
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Session WE3.R10
WE3.R10.1: Tracking radiometrically-accurate synthetic moving ground vehicles from time-offset satellite image bands
Ethan Brewer, David Stelter, Paul Corlies, Robert Sundberg, Spectral Sciences, Inc., United States
WE3.R10.2: SG-DDIB: SEMANTIC-GUIDED DUAL DIFFUSION BRIDGES FOR REMOTE SENSING IMAGE-LABEL SYNTHESIS
Yibing Xiong, Xiangyun Hu, Wuhan University, China; Jiongwei Wang, Guangdong Provincial Land and Resources Technology Center, China
WE3.R10.3: Simulation of Large-scale Stereo Satellite Images for Forest Observation Using Discrete Anisotropic Radiative Transfer (DART) Model
Weiwei Tan, Tiangang Yin, Shaodong Wei, Cailin Zhou, The Hong Kong Polytechnic University, China; Eric Chavanon, Nicolas Lauret, Univ Toulouse, CNES, CNRS, INRAE, IRD, CESBIO, Toulouse, France, France; Ameni Mkaouar, NASA Goddard Space Flight Center, United States; David Shean, University of Washington, United States; Oleg Alexandrov, NASA Ames Research Center, United States; Christopher S.R. Neigh, Paul M. Montesano, NASA Goddard Space Flight Center, United States; Jean-Philippe Gastellu-Etchegorry, Univ Toulouse, CNES, CNRS, INRAE, IRD, CESBIO, Toulouse, France, France
WE3.R10.4: Enhancing monocular height estimation via sparse LiDAR-guided correction
Jian Song, Hongruixuan Chen, RIKEN Center for Advanced Intelligence Project (AIP), Japan; Naoto Yokoya, The University of Tokyo, Japan
Resources
No resources available.