Results 181 to 190 of about 9,529 (202)
Some of the next articles are maybe not open access.
Deep learning for extracting water body from Sentinel-2 MSI imagery
2021<p>Deep learning has a good capacity of hierarchical feature learning from unlabeled remote sensing images. In this study, the simple linear iterative clustering (SLIC) method was improved to segment the image into good quality super-pixels.
openaire +1 more source
Floods automatic rapid mapping through Sentinel-2 MSI multitemporal data
Floods are widespread natural disasters on Earth affecting the planet with increasing frequency and intensity. Climate changes are responsible of the increasing number of heavy and persistent rains generating these destructive events often resulting in fatalities, injuries, and extensive infrastructural damages.Valeria Satriano +3 more
openaire +1 more source
Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites
European Journal of Remote Sensing, 2018Julia A Barsi +2 more
exaly
Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing
Remote Sensing of Environment, 2020Yongxue Liu +2 more
exaly
Assessment of Atmospheric Correction Algorithms for Sentinel-2 Msi Over Inland Lakes
2023Qingyu Wang +9 more
openaire +1 more source

