MO4.R2.1
PM-UNET: A PHYSICS-MODULATED AND SEMANTICALLY-ENHANCED MODEL FOR ROBUST SAR WATER EXTRACTION IN DYNAMIC INTERTIDAL ZONES
Yanchao Wang, Bin Liu, Shanghai Ocean University, China
Session:
MO4.R2: Coastal Zones II Oral
Track:
Oceans
Location:
Northwest
Presentation Time:
Monday, 10 August, 16:15 - 16:30
Presentation
Discussion
Resources
No resources available.
Session MO4.R2
MO4.R2.1: PM-UNET: A PHYSICS-MODULATED AND SEMANTICALLY-ENHANCED MODEL FOR ROBUST SAR WATER EXTRACTION IN DYNAMIC INTERTIDAL ZONES
Yanchao Wang, Bin Liu, Shanghai Ocean University, China
MO4.R2.2: Unsupervised mariculture areas mapping by Sentinel-2 10 m band-to-band parallax
Yunci Xu, Zhejiang University, China; Lin Yan, David Roy, michigan state university, United States; Lizhen Lu, Zhejiang University, China
MO4.R2.3: Probabilistic-aware Coastal Vegetation Lines with a Novel Skeletonisation Algorithm
Conor O'Sullivan, Soumyabrata Dev, University College Dublin, Ireland
MO4.R2.4: MILLIMETER-WAVE REMOTE SENSING OF SEA SPRAY IN THE COASTAL ZONE
Magdalena D. Anguelova, Jeffrey D. Ouellette, David J. Dowgiallo, Steven P. Menk, Michael S. Vermillion, Carli G. Merrick, Kim M. Scheff, U.S.Naval Research Laboratory, United States
MO4.R2.5: Spectral sensitivity of remote sensing reflectance to CDOM composition along the coastal aquatic continuum
Brice Grunert, Cleveland State University, United States; Kelly Hondula, Arizona State University, United States; Kendra Herweck, Emily Hyland, Cleveland State University, United States; Marcel König, Brockmann Consult GmbH, Germany; Greg Asner, Arizona State University, United States
Resources
No resources available.