Technical Program: Paper Detail || IEEE IGARSS 2024 || Athens, Greece || 7

WE1.R3.7

Multi-image fusion for super-resolving individual Sentinel-2 images

Bartlomiej Pogodzinski, Silesian University of Technology / Saarland University, Poland; Tomasz Tarasiewicz, Silesian University of Technology, Poland; Michal Kawulok, Silesian University of Technology / KP Labs, Poland

Session:

WE1.R3: Super-resolution and Pansharpening I Oral

Location:

Marinos

Presentation Time:

Wed, 10 Jul, 10:24 - 10:38

Session Co-Chairs:

Matteo Ciotola, University Federico II and Giuseppe Scarpa, University Parthenope

Session WE1.R3

WE1.R3.1: IMPROVED REGRESSION-BASED COMPONENT-SUBSTITUTION PANSHARPENING OF WORLDVIEW-2/3 DATA THROUGH AUTOMATIC REALIGNMENT OF SPECTROMETERS

Alberto Arienzo, Luciano Alparone, University of Florence, Italy; Andrea Garzelli, University of Siena, Italy

WE1.R3.2: A NOVEL FIDELITY BASED ON THE ADAPTIVE DOMAIN FOR PANSHARPENING

Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Ting Xu, University of Electronic Science and Technology of China, China

WE1.R3.3: BALANCING SPECTRAL AND SPATIAL QUALITY IN CNN-BASED UNSUPERVISED PANSHARPENING

Matteo Ciotola, Giuseppe Guarino, Giovanni Poggi, University Federico II, Italy; Giuseppe Scarpa, University Parthenope, Italy

WE1.R3.4: Machine learning models for EOS SAT-1 satellite image enhancing

Viacheslav Popika, Lidiia Lelechenko, EOS Data Analytics, Ukraine

WE1.R3.5: DEGRADATION-AWARE SELF-SUPERVISED MULTI-TEMPORAL SUPER-RESOLUTION

Matteo Impieri, Diego Valsesia, Tiziano Bianchi, Enrico Magli, Politecnico di Torino, Italy

WE1.R3.6: Diffusion models with Cross-Modal data for Super-resolution of Sentinel-2 to 2.5 meter Resolution

Muhammad Sarmad, Norsk Regnesentral, Norway; Michael Kampffmeyer, UiT The Arctic University of Norway, Norwegian Computing Center, Norway; Arnt B. Salberg, Norsk Regnesentral, Norway

WE1.R3.7: Multi-image fusion for super-resolving individual Sentinel-2 images