GeoAI and Semantic Segmentation

GeoAI and Semantic Segmentation
Moderated by: Dr. Caixia Wang, University of Alaska Anchorage

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Presenter	Presentation Title
Colin Flynn / Dewberry	Using Deep Learning to Extract Hydrographic Features from Lidar Data
Steven Nystrom / Intuitive Machines	Deep Learning-Based Crater Detection in Lunar Surface Hillshades
Anushka Chakraborty / Chennai Mathematical Institute	A Deep Learning Framework for Robust Glacier Semantic Segmentation in Complex Terrain using Multispectral Satellite Imagery
Sayanna Kar	GEOAI for Aquaculture Pond Detection in East Kolkata Wetlands
Zesheng Liu / Lehigh University	Kolmogorov–Arnold and Graph Convolutional Networks for Ice-Sheet Emulation
Nhut Le	Vi-PTNet: A Vision-Transformer Guided Point Transformer Network for 3D Semantic Segmentation in Post-disaster Assessment
Saziye Ozge Atik / Istanbul Technical University	Burned Area Detection Using U-Net Based Deep Learning on Sentinel-2 Satellite Images: Maclean Dataset and Manavgat Case Study
Ehsan Karimi	Harnessing Reasoning-Based Answer Selection for Flexible Visual Question Answering in Natural Disaster Damage Assessment