Hyperspectral Detector Enhancement Using Auxiliary High-Resolution Imagery

The deployment of hyperspectral and higher-resolution panchromatic imagers on the same platform provides the opportunity to use detailed spectral and spatial models for target detection. In this project, we will address this opportunity by developing a system INV-SE that uses combined spectral/spatial information to advance the operational utility of target detection algorithms. A new spectral detection algorithm that includes scene-based environmental constraints will be combined with an innovative spatial detection algorithm that is invariant to target pose and partial obscuration. We will also develop new methods for acquiring target spectral and spatial models from airborne imagery. A Bayesian technique will be used to rank detection results by integrating spectral and spatial cues. The algorithms will be derived to allow real-time performance on tactically relevant hardware. The new approach will be assessed over a range of data during Phase I. We also provide a detailed strategy for the commercialization of INV-SE for a range of applications.