Automated Processing Approach for Multi-Spectral, Multi-Sensor Fusion

The program will develop processing algorithms to produce an enhanced video stream from a multiplicity of spectral imaging sensors which are approximately coaligned, but do not necessarily share fields of view, resolution, dynamic range, or frame rate.  The algorithms will be generalized to take advantage of all available spectral bands.  Algorithms will be tested on collected multi-spectral data and ranked according to specific metrics relating to target contrast, reduced clutter and feature resolution.  An emphasis will be made on developing algorithms well suited to implementing in a real-time computing architecture.