In this paper, a new technique for improving the spatial resolution of hyperspectral image data will be presented. This technique combines a high-resolution image with a lower spatial resolution hyperspectral image to produce a product that has the spectral properties of the hyperspectral image at a spatial resolution approaching that of the panchromatic image. Hyperspectral imaging systems are assuming a greater importance for a wide variety of commercial and military systems. There have been several approaches to using a single higher spatial resolution band to improve the spatial resolution of the hyperspectral data. This algorithm offers a new approach to the problem of combining hyperspectral data with high-resolution images, and it is based and generally shows lower levels of error than the statistically based algorithms.