THPB.PA.118

DENSEVIT: A HYBRID CNN-VISION TRANSFORMER MODEL FOR AN IMPROVED MULTISENSOR LITHOLOGICAL CLASSIFICATION

Michael Appiah-Twum, Xu Wenbo, Edward Mensah Acheampong, University of Electronic Science and Technology of China, China
Session:
THPB.PA: Machine Learning Methods for Earth Observation: Applications to All Phases of the Mining Life Cycle II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area 1: Muses/Kokali Foyer
Presentation Time:
Thu, 11 Jul, 16:20 - 17:20
Session Co-Chairs:
Michaela Frei, Federal Institute for Geosciences and Natural Resources (BGR) and Ana Cláudia Teodoro , University of Porto / Institute of Earth Sciences (ICT) and Joana Cardoso-Fernandes, University of Porto / Institute of Earth Sciences (ICT)
Presentation
Discussion
Resources
No resources available.
Session THPB.PA
THPB.PA.116: CONTINUOUS GROUND MOISTURE MONITORING AT LIMESTONE QUARRY USING MULTI-SENSOR SAR IMAGES AND IN SITU IOT SENSORS
Oleg Antropov, Matthieu Molinier, Lauri Seitsonen, VTT Technical Research Centre of Finland, Finland; Alireza Hamedianfar, Maarit Middleton, Kati Laakso, Heikki Sutinen, Pauliina Liwata-Kenttälä, Geological Survey of Finland, Finland
THPB.PA.117: DEVELOPING SCALABLE MONITORING SYSTEM FOR ACID MINE DRAINAGE DETECTION
Veronika Strnadova, Martin Kýhos, Jan Jelenek, Czech Geological Survey, Czech Republic
THPB.PA.118: DENSEVIT: A HYBRID CNN-VISION TRANSFORMER MODEL FOR AN IMPROVED MULTISENSOR LITHOLOGICAL CLASSIFICATION
Michael Appiah-Twum, Xu Wenbo, Edward Mensah Acheampong, University of Electronic Science and Technology of China, China
Resources
No resources available.