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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR1.O-3.5

LAND COVER SEMANTIC SEGMENTATION OF HIGH-RESOLUTION GAOFEN-3 SAR IMAGE

Xianzheng Shi, Feng Xu, Fudan University, China
Session:
Novel Image Segmentation for Active and Passive Sensors
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 16 Jul, 09:30-09:45 (UTC)
Fri, 16 Jul, 11:30-11:45 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 17:30-17:45 China Standard Time (UTC +8)
Fri, 16 Jul, 05:30-05:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Konrad Heidler, German Aerospace Center (DLR) and Sebastien Lefèvre, Université Bretagne du Sud
Session Manager:
Lennert Anston
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Session FR1.O-3
FR1.O-3.1: SEEING THE BIGGER PICTURE: ENABLING LARGE CONTEXT WINDOWS IN NEURAL NETWORKS BY COMBINING MULTIPLE ZOOM LEVELS
Konrad Heidler, Lichao Mou, Xiao Xiang Zhu, German Aerospace Center (DLR), Germany
FR1.O-3.2: HED-UNET: A MULTI-SCALE FRAMEWORK FOR SIMULTANEOUS SEGMENTATION AND EDGE DETECTION
Konrad Heidler, Lichao Mou, Celia Baumhoer, Andreas Dietz, Xiao Xiang Zhu, German Aerospace Center (DLR), Germany
FR1.O-3.3: EVOLUTIONS OF SENTINEL-2 LEVEL-2A CLOUD MASKING ALGORITHM: SEN2COR PROTOTYPE FIRST RESULTS
Jérôme Louis, Telespazio France, France; Bringfried Pflug, German Aerospace Center (DLR), Germany; Vincent Debaecker, Telespazio France, France; Uwe Mueller-Wilm, Telespazio Deutschland, Germany; Rosario Quirino Iannone, RHEA SpA, Italy; Valentina Boccia, Ferran Gascon, European Space Agency (ESA), Italy
FR1.O-3.4: POLSAR IMAGE CLASSIFICATION WITH COMPLEX-VALUED RESIDUAL ATTENTION ENHANCED U-NET
Shijie Ren, Feng Zhou, Xidian University, China
FR1.O-3.5: LAND COVER SEMANTIC SEGMENTATION OF HIGH-RESOLUTION GAOFEN-3 SAR IMAGE
Xianzheng Shi, Feng Xu, Fudan University, China
FR1.O-3.6: ROBUST FEATURE MATCHING USING MOTION CONSISTENCY AND GEOMETRICAL CONSTRAINT FOR UAV IMAGES
Tong Qiao, Hanjiang Xiong, Xianwei Zheng, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China

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