Hyperspectral Resolution Enhancement

Hyperspectral imagery represents the latest and most advanced tool for remote sensing. A hyperspectral data cube presents a vast range of spatial, spectral, and temporal information to the operator. Hyperspectral imagery is finding vast markets in suchdisparate fields as military intelligence, tactical military operations, geology, forestry, cultural studies, and environmental studies. However, a trained imagery analyst may be disappointed with the resolution of hyper-spectral imagery (HSI).Mission Research Corporation proposes the use of co-registered high-resolution broadband imagery coupled with the known system Point Spread Function (PSF) in an optimized Maximum A Posteriori (MAP) Estimator to improve the resolution of the hyperspectralimagery beyond current limitations. We propose that the high-resolution broadband imagery will also be improved using our current MAP techniques before it is used to improve the hyperspectral data. Our initial results are very promising and are includedin the proposal. The processing cost for computers required to perform the computationally intensive MAP routines is on an exponential downward curve. This reduced cost factor makes computationally intensive solutions such as MAP attractive.The advent ofhigh-density focal plane arrays has allowed for the manufacture of high-resolution imaging systems. The imaging systems are being increasingly employed by the DoD as they incorporate more and more electro-optics technology in sophisticated militarysystems. Digital imaging technology is being used for night vision, targeting, target recognition, surveillance and tracking. All of these functions are extremely critical for the successful deployment and mission accomplishment of current militarysystems. Most of these systems offer a