Hyperspectral-Multispectral Image Fusion with Rank Estimation by using a Joint-sparse Regularizer

Combining information of a low-spatial resolution hyperspectral image (HSI) and a low-spectral resolution multispectral image (MSI) to obtain a high spatial-spectral resolution image (HRI) has become an important framework for some applications such as remote sensing. The state-of-the-art approaches use the prior information of the HRI, as sparsity, smoothness, or low-rankness, to solve the result...