SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution
Abstract The increasing demand for high spatial resolution in remote sensing has underscored the need for super-resolution (SR) algorithms that can upscale low-resolution (LR) images to high-resolution (HR) ones. To address this, we present SEN2NAIP, a novel and extensive dataset explicitly develope...
Saved in:
| Main Authors: | Cesar Aybar, David Montero, Julio Contreras, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04214-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Super-resolution water body mapping with a feature collaborative CNN model by fusing Sentinel-1 and Sentinel-2 images
by: Zhixiang Yin, et al.
Published: (2024-11-01) -
Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models
by: Alireza Sharifi, et al.
Published: (2025-01-01) -
Dataset of Sentinel-1 SAR and Sentinel-2 RGB-NDVI imageryMendeley Data
by: Ahmed Alejandro Cardona-Mesa, et al.
Published: (2024-12-01) -
A Sentinel-2 machine learning dataset for tree species classification in Germany
by: M. Freudenberg, et al.
Published: (2025-02-01) -
STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery
by: Nicla Notarangelo, et al.
Published: (2025-02-01)