2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title TU1.R11: Data Fusion: Optical
Presentation Mode Virtual
Session Time Tue, 29 Sep, 12:00 - 14:00 UTC
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsGabriele Cavallaro, Forschungszentrum Jülich and Feng Xu, Fudan University
TU1.R11.1: DEEPSUM++: NON-LOCAL DEEP NEURAL NETWORK FOR SUPER-RESOLUTION OF UNREGISTERED MULTITEMPORAL IMAGES
         Andrea Bordone Molini; Politecnico di Torino
         Diego Valsesia; Politecnico di Torino
         Giulia Fracastoro; Politecnico di Torino
         Enrico Magli; Politecnico di Torino
TU1.R11.2: ZERO-SHOT SENTINEL-2 SHARPENING USING A SYMMETRIC SKIPPED CONNECTION CONVOLUTIONAL NEURAL NETWORK
         Han Van Nguyen; University of Iceland
         Magnús Örn Úlfarsson; University of Iceland
         Jóhannes Rúnar Sveinsson; University of Iceland
         Jakob Sigurdsson; University of Iceland
TU1.R11.3: SUPER-RESOLUTION OF LARGE VOLUMES OF SENTINEL-2 IMAGES WITH HIGH PERFORMANCE DISTRIBUTED DEEP LEARNING
         Run Zhang; RWTH Aachen University
         Gabriele Cavallaro; Forschungszentrum Jülich
         Jenia Jitsev; Forschungszentrum Jülich
TU1.R11.4: IMPROVING SATELLITE ESTIMATES OF THE FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION THROUGH INTEGRATION
         Xin Tao; State University of New York at Buffalo
TU1.R11.5: SUPER-RESOLUTION OF REMOTE SENSING IMAGES BASED ON A DEEP PLUG-AND-PLAY FRAMEWORK
         Hongyuan Tao; Sichuan University
TU1.R11.6: MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION VIA CONVOLUTION SPARSE CODING WITH JOINT SPARSITY
         Feng Zhang; State Key Laboratory of Geo-information Engineering
         Kai Zhang; State Key Laboratory of Geo-information Engineering
TU1.R11.7: UNSUPERVISED BLUR KERNEL LEARNING FOR PANSHARPENING
         Anjing Guo; Hunan University
         Renwei Dian; Hunan University
         Shutao Li; Hunan University
TU1.R11.8: MULTI-LEVEL STRATEGY-BASED SPATIAL INFORMATION PREDICTION FOR SPATIOTEMPORAL REMOTE SENSING IMAGERY FUSION
         Jia Chen; China University of Geosciences
         Ruyi Feng; China University of Geosciences
         Lizhe Wang; China University of Geosciences
         Wei Han; China University of Geosciences
         Jing Huang; China University of Geosciences
TU1.R11.9: EVALUATING SUPER-RESOLUTION OF SATELLITE IMAGES: A PROBA-V CASE STUDY
         Michal Kawulok; Silesian University of Technology
         Pawel Benecki; Silesian University of Technology
         Jakub Nalepa; Silesian University of Technology
         Daniel Kostrzewa; Silesian University of Technology
TU1.R11.10: A CROSS-SCALE LOSS FOR CNN-BASED PANSHARPENING
         Sergio Vitale; Università di Napoli Parthenope
         Giuseppe Scarpa; Università di Napoli Federico II
TU1.R11.11: OPTIMIZING WORKFLOW-EFFICIENCY OF MULTI-SOURCE CLOUD FREE OPTICAL IMAGE MOSAICS USING QUANTITATIVE TECHNIQUES
         Wolfgang Lück; PCI Geomatics
         Andrew Dyk; Canadian Forest Service