Cargando…
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
Remote sensing optical sensors onboard operational satellites cannot have high spectral, spatial and temporal resolutions simultaneously. In addition, clouds and aerosols can adversely affect the signal contaminating the land surface observations. We present a HIghly Scalable Temporal Adaptive Refle...
Autores principales: | Moreno-Martínez, Álvaro, Izquierdo-Verdiguier, Emma, Maneta, Marco P., Camps-Valls, Gustau, Robinson, Nathaniel, Muñoz-Marí, Jordi, Sedano, Fernando, Clinton, Nicholas, Running, Steven W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Elsevier Pub. Co
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371185/ https://www.ncbi.nlm.nih.gov/pubmed/32943798 http://dx.doi.org/10.1016/j.rse.2020.111901 |
Ejemplares similares
-
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
por: Li, Jun, et al.
Publicado: (2022) -
Understanding deep learning in land use classification based on Sentinel-2 time series
por: Campos-Taberner, Manuel, et al.
Publicado: (2020) -
Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu et al.
por: Camps-Valls, Gustau
Publicado: (2022) -
Kernel Manifold Alignment for Domain Adaptation
por: Tuia, Devis, et al.
Publicado: (2016) -
Predicting regional coastal sea level changes with machine learning
por: Nieves, Veronica, et al.
Publicado: (2021)