DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations
<p>A method to reconstruct missing data in sea surface temperature data using a neural network is presented. Satellite observations working in the optical and infrared bands are affected by clouds, which obscure part of the ocean underneath. In this paper, a neural network with the structure of a c...
Uloženo v:
| Hlavní autoři: | , , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Copernicus Publications
2020-03-01
|
| Edice: | Geoscientific Model Development |
| On-line přístup: | https://www.geosci-model-dev.net/13/1609/2020/gmd-13-1609-2020.pdf |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|