 A new pan-sharpening method is proposed using convolutional neural networks that adapts a simple three-layer architecture for super-resolution and includes several maps of non-linear radiometric indices to improve performance without increasing complexity, resulting in very promising results on three representative datasets. This article was authored by Giuseppe Massi, Davide Cotzalino, Luisa Verdeliva, and others.