FR3.R3.3

FUSING TIME-INCONSISTENT SENTINEL-2 IMAGES AND HIGH-RESOLUTION REMOTE SENSING IMAGES

Runmin Dong, Haohuan Fu, Tsinghua University, China
Session:
FR3.R3: Spatiotemporal Analysis Oral
Track:
Data Analysis
Location:
Room 107
Presentation Time:
Fri, 21 Jul, 13:24 - 13:36 Pacific Time (UTC -7)
Session Chair:
Thomas Roßberg, University of the Bundeswehr Munich
Session Manager:
Srashti Singh
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Session FR3.R3
FR3.R3.1: ENHANCING SPATIOTEMPORAL FUSION PERFORMANCE OVER HETEROGENEOUS REGIONS VIA AN ATTENTION-BASED NETWORK
Jingan Wu, Sun Yat-Sen University, China; Yingtao Wei, Liupeng Lin, Wuhan University, China; Chi Zhang, Guangzhou Urban Planning & Design Survey Research Institute, China
FR3.R3.2: TEMPORAL UPSAMPLING OF NDVI TIME SERIES BY RNN-BASED FUSION OF SPARSE OPTICAL AND DENSE SAR-DERIVED NDVI DATA
Thomas Roßberg, Michael Schmitt, University of the Bundeswehr Munich, Germany
FR3.R3.3: FUSING TIME-INCONSISTENT SENTINEL-2 IMAGES AND HIGH-RESOLUTION REMOTE SENSING IMAGES
Runmin Dong, Haohuan Fu, Tsinghua University, China
FR3.R3.4: UNSUPERVISED 3D TENSOR SUBSPACE DECOMPOSITION NETWORK FOR HYPERSPECTRAL AND MULTISPECTRAL IMAGES SPATIAL-TEMPORAL-SPECTRAL FUSION
Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Ningbo University, China
FR3.R3.5: SPATIAL RESOLUTION ENHANCEMENT OF PRISMA HYPERSPECTRAL DATA VIA NESTED HYPERSHARPENING WITH SENTINEL-2 MULTISPECTRAL DATA
Andrea Garzelli, Claudia Zoppetti, University of Siena, Italy; Alberto Arienzo, OHB System AG, Germany; Luciano Alparone, University of Florence, Italy
Resources
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