Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

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

Session:

FR1.R8: Urban Applications of Geospatial technology Oral

Location:

Room H

Presentation Time:

Fri, 21 Jul, 08:54 - 09:06 Pacific Time (UTC -7)

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

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

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