Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR3.O-15.5

DO-UNET, DO-LINKNET: UNET, D-LINKNET WITH DO-CONV FOR THE DETECTION OF SETTLEMENTS WITHOUT ELECTRICITY CHALLENGE

Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu, Xidian University, China
Session:
IEEE GRSS Data Fusion Contest I
Track:
Invited Sessions
Presentation Time:
Fri, 16 Jul, 13:25-13:40 (UTC)
Fri, 16 Jul, 15:25-15:40 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 21:25-21:40 China Standard Time (UTC +8)
Fri, 16 Jul, 09:25-09:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Pedram Ghamisi, HZDR-HIF and Ronny Hänsch, German Aerospace Center
Session Manager:
Klara Dvorakova
Presentation
Not logged in.
Discussion
Not logged in.
Resources
Not logged in.
Session FR3.O-15
FR3.O-15.1: IEEE Data Fusion Contest Overview I
FR3.O-15.2: MULTISOURCE DATA FUSION FOR THE DETECTION OF SETTLEMENTS WITHOUT ELECTRICITY
Yanbiao Ma, Yuxin Li, Kexin Feng, Xueli Geng, Licheng Jiao, Fang Liu, Yuting Yang, Xidian University, China
FR3.O-15.3: A MULTI-MODEL FUSION OF CONVOLUTION NEURAL NETWORK AND RANDOM FOREST FOR DETECTING SETTLEMENTS WITHOUT ELECTRICITY
Yu Xia, Qi Huang, Hongyan Zhang, Wuhan University, China
FR3.O-15.4: Multi-Branch Deep Learning model for detection of settlements without electricity
Thomas Di Martino, ONERA, CentraleSupélec, Université Paris-Saclay, France; Maxime Lenormand, Independent, France; Elise Colin Koeniguer, ONERA, Université Paris-Saclay, France
FR3.O-15.5: DO-UNET, DO-LINKNET: UNET, D-LINKNET WITH DO-CONV FOR THE DETECTION OF SETTLEMENTS WITHOUT ELECTRICITY CHALLENGE
Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu, Xidian University, China

Quicklinks

Downloads

Programme guide