IEEE IGARSS 2022 || Kuala Lumpur, Malaysia || 17

TH1.O2.4

WUP-CD: TOWARDS 2.5D DATA FOR DEEP LEARNING BUILDING CHANGE DETECTION

Adrian Bauer, Anton Kummert, University of Wuppertal, Germany; Jens Oberbossel, Stefan Sander, City Administration Wuppertal, Germany

Session:

Change Detection and Multi-Temporal Analysis Oral In-Person

Location:

Conference Hall 2

Presentation Time:

Thu, 21 Jul, 09:45 - 10:00 Malaysia Time (UTC +8)
Thu, 21 Jul, 03:45 - 04:00 Central European Time (UTC +1)
Thu, 21 Jul, 01:45 - 02:00 UTC
Wed, 20 Jul, 21:45 - 22:00 Eastern Time (UTC -5)

Session Chair:

Wele Gedara Chaminda Bandara, Johns Hopkins University

Session Manager:

Nik Zainun Nik Mood

Resources

No resources available.

Session TH1.O2

TH1.O2.1: A Transformer-Based Siamese Network for Change Detection

Wele Gedara Chaminda Bandara, Vishal M. Patel, Johns Hopkins University, United States

TH1.O2.2: SIAMESE ATTENTION U-NET FOR MULTI-CLASS CHANGE DETECTION

Sol Cummings, PASCO CORPORATION & Technical University of Munich (TUM), Japan; Lukas Kondmann, Xiao Xiang Zhu, Technical University of Munich (TUM) & German Aerospace Center (DLR), Germany

TH1.O2.3: A TEMPORAL DEEP CONVOLUTIONAL NEURAL NETWORK MODEL ON SENTINEL-1 IMAGE TIME SERIES FOR PIXEL-WISE FLOOD CLASSIFICATION

Konstantinos Vlachos, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece

TH1.O2.4: WUP-CD: TOWARDS 2.5D DATA FOR DEEP LEARNING BUILDING CHANGE DETECTION

Adrian Bauer, Anton Kummert, University of Wuppertal, Germany; Jens Oberbossel, Stefan Sander, City Administration Wuppertal, Germany

TH1.O2.5: TOWARDS CROSS-DISASTER BUILDING DAMAGE DETECTION WITH GRAPH CONVOLUTIONAL NETWORKS

Ali Ismail, Mariette Awad, American University of Beirut, Lebanon

TH1.O2.6: CHANGE-AWARE VISUAL QUESTION ANSWERING

Zhenghang Yuan, Technical University of Munich, Germany; Lichao Mou, Xiaoxiang Zhu, Technical University of Munich & German Aerospace Center, Germany