Resolution enhancement of hyperspectral data using multispectral imagery

摘要

Hyperspectral imagers tend to have lower spatial resolution than multispectral ones. This often results in a (sometimes difficult) trade-off between spectral and spatial resolution. We have developed a technique, called CRISP, that combines low-resolution hyperspectral data and high-resolution multispectral data to produce high quality, high-resolution hyperspectral data. This technique shows good quantitative performance when applied to realistic applications such as land cover estimation and anomaly detection. As a test of this technique, we have performed an experiment using HyMap hyperspectral data and multispectral instruments over the coast waters of Oahu, Hawaii. The accuracy of the CRISP sharpening approach when used for coastal applications such as depth mapping is assessed.