Hyperspectral and Multispectral Image Fusion Algorithm Based on Collaborative Representation

Based on the traditional Pan-sharpening technology, we propose a high spectral and multispectral integration framework. In the framework, hyperspectral and multispectral image fusion (HS-MS) problem is simplified to a number of multiband and single band (MB-IB) image fusion problems. On this basis, an image fusion algorithm based on collaborative representation using local adaptive dictionary pair (LACRF) algorithm based on local adaptive (LA) dictionary and collaborative representation (CR) is proposed for image fusion of each multi-band and single-band, to obtain multi-band (HRMB) images with high spatial resolution, and finally to obtain hyperspectral images (HHS) with high spatial resolution. According to the experimental results, LACRF algorithm has a better fusion effect.