IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

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

Session:

Novel Segmentation Methods of Roads and Buildings

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Tue, 13 Jul, 09:45-10:00 (UTC)
Tue, 13 Jul, 11:45-12:00 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:45-18:00 China Standard Time (UTC +8)
Tue, 13 Jul, 05:45-06:00 Eastern Daylight Time (UTC -4)

Session Co-Chairs:

Benhadj Iskander , VITO and Sylvain Lobry, Université de Paris

Session Manager:

Dan López-Puigdollers

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

POST-DISASTER CLASSIFICATION OF BUILDING DAMAGE USING TRANSFER LEARNING

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