FR1.R8.5

A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series

Andrea Nascetti, Univeristy of Liège, KTH Royal Institute of Technology, Belgium; Ritu Yadav, Yifang Ban, KTH Royal Institute of Technology, Sweden
Session:
FR1.R8: Urban Applications of Geospatial technology Oral
Track:
Land Applications
Location:
Room H
Presentation Time:
Fri, 21 Jul, 09:18 - 09:30 Pacific Time (UTC -8)
Session Co-Chairs:
Hongsheng Zhang, University of Hong Kong (HKU) and Andrea Nascetti, Univeristy of Liège, KTH Royal Institute of Technology
Session Manager:
Srashti Singh
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Session FR1.R8
FR1.R8.1: LEVERAGING CHINESE GAOFEN-7 IMAGERY FOR HIGH-RESOLUTION BUILDING HEIGHT ESTIMATION OVER MULTIPLE CITIES
Peimin Chen, Huabing Huang, Sun Yat-Sen University, China
FR1.R8.2: CREATING INDICATORS FOR ACCESSIBILITY INEQUALITY FROM MICRO-SPATIAL DATA: A CASE STUDY OF THAILAND
Hiroki Baba, Kyoto University, Japan
FR1.R8.3: RESEARCH ON FAST DETECTION METHOD OF WIND TURBINE IN REMOTE SENSING IMAGE LAND AREA BASED ON YOLO
Deliang Chen, Taotao Cheng, Nanjing University of Posts and Telecommunications, China; Yanyan Lu, Nanjing Audit University, China; Kyle Gao, Sarah Fatholahi, Jonathan Li, University of Waterloo, Canada
FR1.R8.4: USING HIGH-RESOLUTION NIGHTTIME REMOTE SENSING DATA TO IDENTIFY LIGHT SOURCES IN HONG KONG
Shengjie Liu, University of Southern California, United States; Chu-wing SO, Hung Chak (Derrick) HO, The University of Hong Kong, Hong Kong SAR China; Qian Shi, Sun Yat-sen University, China; Chun Shing Jason Pun, The University of Hong Kong, Hong Kong SAR China
FR1.R8.5: A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series
Andrea Nascetti, Univeristy of Liège, KTH Royal Institute of Technology, Belgium; Ritu Yadav, Yifang Ban, KTH Royal Institute of Technology, Sweden
Resources
No resources available.