Superresolution of hyperspectral images using spectral unmixing and sparse regularization

摘要

Unlike multispectral (MSI) and panchromatic (PAN) images, the spatial resolution of hyperspectral images (HSI) is limited. In many applications, HSI with a high spectral as well as spatial resolution are required. In this paper, a new method for superresolution of HSI is introduced. A high resolution HSI (HRHSI) is constructed by using the linear spectral unmixing model and making use of a MSI of the same scene. As a regularization, we apply a sparse representation of the HSI, obtained by constructing a dictionary of unrelated PAN images. Experiments show that the reconstruction quality is higher than some the well-known HSI spatial resolution enhancement methods.