Extension of Spatial Sharpening Techniques to Hyperspectral Data

This paper describes our approach and presents measured results of the extension of multispectral sharpening techniques to hyperspectral imagery. Our approach produce high spatial resolution spectral imagery using a least squares estimator. The estimator is based on the underlying physics of the spectral imaging process. The intent of the process it to produce high spatial resolutions with the best possible spectral fidelity. The results on multiple test cases demonstrate sharpened imagery within 5% of the true high resolution hyperspectral values.