Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks
Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at 10 m of spatial resolution. These images, due to the open data distribution policy, are becoming an important resource for several applications. However, for small scale studies, the spatial detail of these...
Main Authors: | Luis Salgueiro Romero, Javier Marcello, Verónica Vilaplana |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/15/2424 |
Similar Items
-
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images
by: Luis Salgueiro, et al.
Published: (2022-11-01) -
A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery
by: Saüc Abadal, et al.
Published: (2021-11-01) -
Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks
by: Luis Salgueiro, et al.
Published: (2021-12-01) -
Spatial Transformer Generative Adversarial Network for Robust Image Super-Resolution
by: Hossam M. Kasem, et al.
Published: (2019-01-01) -
Single Image Super-Resolution Method Based on an Improved Adversarial Generation Network
by: Qiang Wang, et al.
Published: (2022-06-01)