Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution
Author:
Affiliation:
1. Silesian University of Technology,Faculty of Automatic Control, Electronics and Computer Science,Gliwice,Poland
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10180201/10180228/10180305.pdf?arnumber=10180305
Reference25 articles.
1. Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
2. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
3. Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data
4. A New Pan-Sharpening Method With Deep Neural Networks
5. Sentinel-2 Pan Sharpening—Comparative Analysis
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1. Multi-Image Fusion for Super-Resolving Individual Sentinel-2 Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
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