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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU3.O-7.2

Data Augmentation for Land Cover Classification using Generative Adversarial Networks

Kamel Aouaidjia, Issam Boukerch, Algerian Space Agency, Algeria
Session:
Image Segmentation: Data and Applications
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 12:40-12:55 (UTC)
Tue, 13 Jul, 14:40-14:55 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 20:40-20:55 China Standard Time (UTC +8)
Tue, 13 Jul, 08:40-08:55 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Alina Zare, University of Florida and Kruspe Anna, German Aerospace Center (DLR); Technical University of Munich (TUM)
Session Manager:
Xingyan Cao
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Session TU3.O-7
TU3.O-7.1: EXPLORING TEMPORAL CONTEXT AT MULTIPLE SCALES FOR CROP MAPPING WITH FULLY CONVOLUTIONAL RECURRENT NETS AND FULLY CONNECTED CRFS
Marcos Rogozinski, Jorge Andres Chamorro Martinez, Patrick Nigri Happ, Raul Queiroz Feitosa, Pontifical Catholic University of Rio de Janeiro, Brazil
TU3.O-7.2: Data Augmentation for Land Cover Classification using Generative Adversarial Networks
Kamel Aouaidjia, Issam Boukerch, Algerian Space Agency, Algeria
TU3.O-7.3: THE WEAKLY-LABELED RAND INDEX
Dylan Stewart, Anna Hampton, Alina Zare, University of Florida, United States; Jeff Dale, James Keller, University of Missouri, United States
TU3.O-7.4: MODERATE RESOLUTION REMOTE SENSING AND MACHINE LEARNING FOR HUMAN RIGHTS MONITORING: THE CASE OF RAKHINE STATE, MYANMAR
Josh Redmond, University of Exeter, United Kingdom
TU3.O-7.5: An OpenStreetMap-Based Dataset of Building Footprints For Analysing Different Types of Label Noise
Jonas Gütter, German Aerospace Center (DLR), Jena, Germany, Germany; Kruspe Anna, Xiao Xiang Zhu, German Aerospace Center (DLR); Technical University of Munich (TUM), Germany
TU3.O-7.6: ATTENTION BASED SEMANTIC SEGMENTATION ON UAV DATASET FOR NATURAL DISASTER DAMAGE ASSESSMENT
Tashnim Chowdhury, Maryam Rahnemoonfar, University of Maryland Baltimore County, United States

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