MOP1.PW.2
A GENERALIZED DEEP LEARNING METHOD FOR ROOFTOP CONDITION ASSESSMENT VIA MONOCULAR IMAGERY
Xinyu Li, The University of Tokyo, Japan; Zhiling Guo, Jian Xu, The Hong Kong Polytechnic University, China; Wei Yuan, Tohoku University, Japan; Xiaoya Song, Haoran Zhang, Peking University, China; Jinyue Yan, The Hong Kong Polytechnic University, China
Session:
MOP1.PW: Land Use Applications II Poster
Track:
Land Applications
Location:
Poster Area
Presentation Time:
Monday, 4 August, 14:15 - 15:45
Presentation
Discussion
Resources
No resources available.
Session MOP1.PW
MOP1.PW.1: SURFACE WATER BODY EXTRACTION USING IMAGE SEGMENTATION AND CLASSIFICATION WITH KOMPSAT-3/5 FUSION IMAGE AND CAS500-1 IMAGE
Hayoung Lee, Kiwon Lee, Hansung University, Korea (South)
MOP1.PW.2: A GENERALIZED DEEP LEARNING METHOD FOR ROOFTOP CONDITION ASSESSMENT VIA MONOCULAR IMAGERY
Xinyu Li, The University of Tokyo, Japan; Zhiling Guo, Jian Xu, The Hong Kong Polytechnic University, China; Wei Yuan, Tohoku University, Japan; Xiaoya Song, Haoran Zhang, Peking University, China; Jinyue Yan, The Hong Kong Polytechnic University, China
MOP1.PW.4: Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China
Cong Ou, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China
MOP1.PW.5: THE FIRST 3-M FINE-SCALE URBAN LAND USE/COVER MAPPING IN CHINA (FULUC3)
Xidong Chen, Bin Chen, THE UNIVERSITY OF HONGKONG, China
MOP1.PW.6: Land cover and resolution impacts on agroforestry identification
Arina Machine, Heiko Balzter, University of Leicester, United Kingdom
Resources
No resources available.