To solve this issue, we propose a data augmentation framework for pansharpening neural networks (PNNs). Specifically, we introduce first a random spatial degradation based on anisotropic ...

A collaborative effort between the universities of Cordoba and Granada improved the spatial resolution of monthly climate data from 22,000 years ago to the year 2100, enabling more localized and ...

Those missing entries which make valuable information invisible may distort the further urban analysis. To improve the quality of missing data imputation, we propose an improved spatial multi-kernel ...