Image sharpening using hyperspectral and multispectral data

Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of bands. Multispectral sensors (MS) are conventional optical sensors that have several bands with higher spatial resolution. There is a trade-off relation between spectral and spatial performance of optical sensors in terms of signal-to-noise ratio and data rate. In order to obtain high resolution and spectral information simultaneously, pan-sharpen approach is applied to fuse them. Hyperion as a hyperspectral sensor, and ASTER as a multispectral sensor, are chosen in this work. In addition, ideal simulation of fusion is carried out using AVIRIS image. For the purpose of quantitative evaluation, five well-known quality indices are used. Excellent result of newly proposed methods based on pan-sharpen approach is confirmed by both of ideal simulation using AVIRIS and Hyperion-ASTER fusion.