WE4.S1.2
AERIAL-TERRESTRIAL POINT CLOUD INTEGRATION FOR ADVANCED 3D BUILDING DAMAGE RECOGNITION
Chaoxian Liu, Wuhan Polytechnic University, China; Haigang Sui, Wuhan University, China; Chengyu Zhang, Wuhan Polytechnic University, China; Zixun Ni, Ning Zhou, Wuhan University, China
Session:
WE4.S1: Rapid Building Damage Detection After Natural Hazards Using Satellite Optical Imagery and UAV Data Oral
Track:
Community-Contributed Sessions
Location:
Room S1
Presentation Time:
Wednesday, 6 August, 16:00 - 16:15
Presentation
Discussion
Resources
No resources available.
Session WE4.S1
WE4.S1.1: AN ADVANCED DAMAGE ASSESSMENT METHOD UTILIZING TIME SERIES OF INSAR PHASE STANDARD DEVIATION COMBINED WITH DEEP LEARNING
Yanchen Yang, Zhang Yunjun, Chou Xie, Aerospace Information Research Institute, Chinese Academy of Sciences, China
WE4.S1.2: AERIAL-TERRESTRIAL POINT CLOUD INTEGRATION FOR ADVANCED 3D BUILDING DAMAGE RECOGNITION
Chaoxian Liu, Wuhan Polytechnic University, China; Haigang Sui, Wuhan University, China; Chengyu Zhang, Wuhan Polytechnic University, China; Zixun Ni, Ning Zhou, Wuhan University, China
WE4.S1.3: LONG-TERM TEMPORAL ANALYSIS OF SENTINEL-2 SPECTRAL REFLECTANCE DATA FOR POST-EARTHQUAKE MONITORING OF URBAN ENVIORNMENT DYNAMICS
Elisabetta Lamboglia, European Space Agency, Netherlands; Giorgia Guerrisi, Tor Vergata University of Rome, Italy; Stefania Bonafoni, University of Perugia, Italy; Fabio Del Frate, Tor Vergata University of Rome, Italy
WE4.S1.4: CONTRASTIVE SELF-SUPERVISED DOMAIN ADAPTIVE FRAMEWORK FOR CROSS-DOMAIN HURRICANE DAMAGE ASSESSMENT
Pratyush V Talreja, Surya S Durbha, Shreelakshmi C R, Chetan Mahajan, Gaganpreet Singh, Indian Institute of Technology Bombay, India
WE4.S1.5: EARTHQUAKE DAMAGE ASSESSMENT OF 21st NOVEMBER 2022 IN CIANJUR, INDONESIA: A GRID-BASED AND MACHINE LEARNING APPROACH USING SENTINEL-1 SAR INTERFEROMETRY
Arli Ardiandy Nurseramika, Hideomi Gokon, Japan Advanced Institute of Science and Technology, Indonesia
Resources
No resources available.