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Found 2 papers, 2 papers with code
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Our proposed network is a modified version of U-Net architecture, which aims at super-resolving the input LST image from 1Km to 250m per pixel.
A hybrid ensemble method with negative correlation learning for regression
It is also possible to improve the NCL ensemble with a regularization term in the objective function.
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