Super-resolution of Sentinel-2 images: Learning a globally applicable
deep neural network

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

12 March 2018

J. Bioucas-Dias

Konrad Schindler

Papers citing "Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network"

8 / 8 papers shown

Title
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series Aimi Okabayashi Nicolas Audebert Simon Donike Charlotte Pelletier 30 1 0 25 Apr 2024
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 20 31 0 11 Apr 2023
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution N. Nguyen J. Anger Lara Raad B. Galerne Gabriele Facciolo 11 5 0 22 Feb 2023
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution Paweł Kowaleczko Tomasz Tarasiewicz Maciej Ziaja Daniel Kostrzewa J. Nalepa Przemyslaw Rokita M. Kawulok SupR 37 17 0 06 Oct 2022
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series Lukasz Tulczyjew M. Kawulok Nicolas Longépé Bertrand Le Saux J. Nalepa 13 14 0 03 Aug 2022
Super-Resolution Appearance Transfer for 4D Human Performances Marco Pesavento M. Volino A. Hilton 3DH SupR 24 2 0 31 Aug 2021
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery Jaehyup Lee S. Seo Munchurl Kim 25 27 0 06 May 2021
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks Jae-Seok Choi Yongwoo Kim Munchurl Kim 6 15 0 13 Jun 2019