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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-3.5

SPD-LINKNET: UPGRADED D-LINKNET WITH STRIP POOLING FOR ROAD EXTRACTION

Yutao Deng, Junli Yang, Chenyi Liang, Yinuo Jing, Beijing University of Posts and Telecommunications, China
Session:
Novel Segmentation Methods of Roads and Buildings
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 09:30-09:45 (UTC)
Tue, 13 Jul, 11:30-11:45 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:30-17:45 China Standard Time (UTC +8)
Tue, 13 Jul, 05:30-05:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Benhadj Iskander , VITO and Sylvain Lobry, Université de Paris
Session Manager:
Dan López-Puigdollers
Presentation
Discussion
Resources
Session TU1.O-3
TU1.O-3.1: SUB-PIXEL WIDTH ROAD NETWORK EXTRACTION USING SENTINEL-2 IMAGERY
Christian Ayala, Carlos Aranda, Tracasa Instrumental, Spain; Mikel Galar, Public University of Navarre, Spain
TU1.O-3.2: JOINT SUPERPIXEL SEGMENTATION AND GRAPH CONVOLUTIONAL NETWORK ROAD EXTRATION FOR HIGH-RESOLUTION REMOTE SENSING IMAGERY
Fumin Cui, Ruyi Feng, Lizhe Wang, China University of Geosciences, China; Lifei Wei, Hubei University, China
TU1.O-3.3: Road Extraction from Satellite Image via Auxiliary Road Location Prediction
Jingtao Hu, Qi Wang, Xuelong Li, Northwestern Polytechnical University, China
TU1.O-3.4: DID-LINKNET: POLISHING D-BLOCK WITH DENSE CONNECTION AND ITERATIVE FUSION FOR ROAD EXTRACTION
Haotian Yan, Chuang Zhang, Junli Yang, Ming Wu, Jinyu Chen, Beijing University of Posts and Telecommunications, China
TU1.O-3.5: SPD-LINKNET: UPGRADED D-LINKNET WITH STRIP POOLING FOR ROAD EXTRACTION
Yutao Deng, Junli Yang, Chenyi Liang, Yinuo Jing, Beijing University of Posts and Telecommunications, China
TU1.O-3.6: POST-DISASTER CLASSIFICATION OF BUILDING DAMAGE USING TRANSFER LEARNING
Chang Liu, Linlin Ge, Samad M. E. Sepasgozar, University of New South Wales, Australia

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