TU1.R9.4
Trajectory-Conditioned Diffusion Inversion for Motion-Corrupted Electromagnetic Resonance Relaxation in Subsurface Sensing
Yunke Liu, Bogdan Wiecek, Rebecca Jachmann, Halliburton, United States
Session:
TU1.R9: Advanced Signal Processing for Geoscience, Remote Sensing, and Future Earth Observations (3/3) Oral
Track:
Community Contributed Themes
Location:
Fairchild
Presentation Time:
Tuesday, 11 August, 09:15 - 09:30
Session Co-Chairs:
Andriyan Bayu Suksmono, Institut Teknologi Bandung and Akira Hirose, The University of Tokyo
Presentation
Discussion
Resources
No resources available.
Session TU1.R9
TU1.R9.1: DUAL-CONDITION DIFFUSION MODEL UNDER SUBSPACE FOR HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION
Shuo Wang, Ting Hu, Jinchao Feng, Beijing University of Technology, China
TU1.R9.2: A Novel Lightweight Electromagnetic Induction Sensor for Permafrost Detection and Mapping
Michele Maxson, U.S. Army Corps of Engineers, United States; Benjamin Barrowes, Dartmouth College, United States; David Lozano, Taylor Sullivan, U.S. Army Corps of Engineers, United States; Mikheil Prishvin, Subsurface Sensing Technologies and Consulting, LLC, Georgia; Fridon Shubitidze, Dartmouth College, United States
TU1.R9.3: TRANSFORMER-BASED RECONSTRUCTION OF CANOPY PROFILES FROM LARGE-FOOTPRINT WAVEFORM LIDAR
Tahrir Siddiqui, Jan van Aardt, Rochester Institute of Technology, United States; Keith Krause, Battelle Memorial Institute, United States
TU1.R9.4: Trajectory-Conditioned Diffusion Inversion for Motion-Corrupted Electromagnetic Resonance Relaxation in Subsurface Sensing
Yunke Liu, Bogdan Wiecek, Rebecca Jachmann, Halliburton, United States
Resources
No resources available.