SUPER-RESOLUTION FOR SENTINEL-2 IMAGES

8 citations as recorded by crossref.

1. Deep learning-based super-resolution for harmful algal bloom monitoring of inland water D. Kwon et al. 10.1080/15481603.2023.2249753
2. How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case A. Malczewska & M. Wielgosz 10.1109/JSTARS.2023.3328997
3. Super-Resolution of Sentinel-2 Images Using a Spectral Attention Mechanism M. Zabalza & A. Bernardini 10.3390/rs14122890
4. SEN2VENµS, a Dataset for the Training of Sentinel-2 Super-Resolution Algorithms J. Michel et al. 10.3390/data7070096
5. PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks N. Latte & P. Lejeune 10.3390/rs12152366
6. X-SVM: An Extension of C-SVM Algorithm for Classification of High-Resolution Satellite Imagery G. Lantzanakis et al. 10.1109/TGRS.2020.3017937
7. Remote sensing applications for reservoir water level monitoring, sustainable water surface management, and environmental risks in Quang Nam province, Vietnam D. Quang et al. 10.2166/wcc.2021.347
8. Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data M. Galar et al. 10.3390/rs12182941