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

TU1.R11: Data Fusion: Optical

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 Summer Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Gabriele Cavallaro, Forschungszentrum Jülich and Feng Xu, Fudan University
Session Manager: Mrinmoy Dhara
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
12:00-12:10 (UTC)
20:00-20:10 (UTC +8)
14:00-14:10 (UTC +2)
05:00-05:10 (UTC -7)

TU1.R11.1: DEEPSUM++: NON-LOCAL DEEP NEURAL NETWORK FOR SUPER-RESOLUTION OF UNREGISTERED MULTITEMPORAL IMAGES
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Politecnico di Torino, Italy
12:10-12:20 (UTC)
20:10-20:20 (UTC +8)
14:10-14:20 (UTC +2)
05:10-05:20 (UTC -7)

TU1.R11.2: ZERO-SHOT SENTINEL-2 SHARPENING USING A SYMMETRIC SKIPPED CONNECTION CONVOLUTIONAL NEURAL NETWORK
Han Van Nguyen, Magnús Örn Úlfarsson, Jóhannes Rúnar Sveinsson, Jakob Sigurdsson, University of Iceland, Iceland
12:20-12:30 (UTC)
20:20-20:30 (UTC +8)
14:20-14:30 (UTC +2)
05:20-05:30 (UTC -7)

TU1.R11.3: SUPER-RESOLUTION OF LARGE VOLUMES OF SENTINEL-2 IMAGES WITH HIGH PERFORMANCE DISTRIBUTED DEEP LEARNING
Run Zhang, RWTH Aachen University, Germany; Gabriele Cavallaro, Jenia Jitsev, Forschungszentrum Jülich, Germany
12:30-12:40 (UTC)
20:30-20:40 (UTC +8)
14:30-14:40 (UTC +2)
05:30-05:40 (UTC -7)

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, United States
12:40-12:50 (UTC)
20:40-20:50 (UTC +8)
14:40-14:50 (UTC +2)
05:40-05:50 (UTC -7)

TU1.R11.5: Super-Resolution of Remote Sensing Images Based on a Deep Plug-and-Play Framework
Hongyuan Tao, Sichuan University, China
12:50-13:00 (UTC)
20:50-21:00 (UTC +8)
14:50-15:00 (UTC +2)
05:50-06:00 (UTC -7)

TU1.R11.6: MULTISPECTRAL AND PANCHROMATIC IMAGE FUSION VIA CONVOLUTION SPARSE CODING WITH JOINT SPARSITY
Feng Zhang, Kai Zhang, State Key Laboratory of Geo-information Engineering, China
13:00-13:10 (UTC)
21:00-21:10 (UTC +8)
15:00-15:10 (UTC +2)
06:00-06:10 (UTC -7)

TU1.R11.7: UNSUPERVISED BLUR KERNEL LEARNING FOR PANSHARPENING
Anjing Guo, Renwei Dian, Shutao Li, Hunan University, China
13:10-13:20 (UTC)
21:10-21:20 (UTC +8)
15:10-15:20 (UTC +2)
06:10-06:20 (UTC -7)

TU1.R11.8: MULTI-LEVEL STRATEGY-BASED SPATIAL INFORMATION PREDICTION FOR SPATIOTEMPORAL REMOTE SENSING IMAGERY FUSION
Jia Chen, Ruyi Feng, Lizhe Wang, Wei Han, Jing Huang, China University of Geosciences, China
13:20-13:30 (UTC)
21:20-21:30 (UTC +8)
15:20-15:30 (UTC +2)
06:20-06:30 (UTC -7)

TU1.R11.9: Evaluating super-resolution of satellite images: A Proba-V case study
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Silesian University of Technology, Poland
13:30-13:40 (UTC)
21:30-21:40 (UTC +8)
15:30-15:40 (UTC +2)
06:30-06:40 (UTC -7)

TU1.R11.10: A CROSS-SCALE LOSS FOR CNN-BASED PANSHARPENING
Sergio Vitale, Università di Napoli Parthenope, Italy; Giuseppe Scarpa, Università di Napoli Federico II, Italy
13:40-13:50 (UTC)
21:40-21:50 (UTC +8)
15:40-15:50 (UTC +2)
06:40-06:50 (UTC -7)

TU1.R11.11: OPTIMIZING WORKFLOW-EFFICIENCY OF MULTI-SOURCE CLOUD FREE OPTICAL IMAGE MOSAICS USING QUANTITATIVE TECHNIQUES
Wolfgang Lück, PCI Geomatics, Canada; Andrew Dyk, Canadian Forest Service, Canada