WE4.P4.2
Classification of Building Types Using High-Resolution Images and Deep Learning Models
Mohammadhassan Tavakoligargari, i3mainz – Institute for Spatial Information and Surveying Technology, Germany; Maryam Ghasemzadeh, University of tehran, Iran; Hossein Arefi, i3mainz – Institute for Spatial Information and Surveying Technology, Germany
Session:
WE4.P4: Remote Sensing for Urban Resilience: Creating Digital Twins I Oral
Track:
Community-Contributed Sessions
Location:
Room P4
Presentation Time:
Wednesday, 6 August, 16:00 - 16:15
Session Co-Chairs:
Surya S Durbha, Indian Institute of Technology Bombay and Pratyush Talreja, Indian Institute of Technology Bombay
Presentation
Discussion
Resources
No resources available.
Session WE4.P4
WE4.P4.1: EARTH SYSTEM DIGITAL TWIN FOR WILDFIRE AND AIR QUALITY
Thomas Huang, NASA Jet Propulsion Laboratory, United States
WE4.P4.2: Classification of Building Types Using High-Resolution Images and Deep Learning Models
Mohammadhassan Tavakoligargari, i3mainz – Institute for Spatial Information and Surveying Technology, Germany; Maryam Ghasemzadeh, University of tehran, Iran; Hossein Arefi, i3mainz – Institute for Spatial Information and Surveying Technology, Germany
WE4.P4.3: URBAN DIGITAL TWIN FOR PERCEPTION BASED SAFETY ANALYSIS
prachi chachondhia, Vaibhav kumar, Indian Institutute of Sciene Education and Research, India
WE4.P4.4: SAM-UpBuild: Efficient Automated Building Footprint Update with Limited Labels
Wen Zhou, Chen Wu, Wuhan University, China
WE4.P4.5: CHANGE DETECTION OF BRIDGE BEHAVIOR BASED ON INSAR TIME SERIES ANALYSIS: A CASE STUDY OF STEEL ROD BREAKAGE AT A GIRDER EDGE
Kosuke Kinoshita, Yukihiro Yano, Takahiro Kumura, NEC Corporation, Japan
Resources
No resources available.