Pre-processing Algorithms for Exploitation of Remotely Sensed Optical Spectral Imagery for Automated Target Recognition/Cueing and Multi-INT Fusion

We will develop the SenseMod system for the modeling of HSI sensors. The new sensor models will be used to advance the capability of hyperspectral pre-processing algorithms. SenseMod is based on an innovative approach for sensor characterization and for representing spectral differences between sensor measurements and model-based signature predictions. These differences depend on calibration uncertainty, approximation error, and sensor noise. The sensor models will be incorporated into state-of-the-art algorithms for detection and characterization. The use of the new models will be particularly advantageous for the detection and characterization of targets with low spectral contrast. The new models will also allow for the utilization of optimized algorithms by sensor systems with a wide range of properties. We will demonstrate the ability of SenseMod to improve the performance of algorithms during Phase I using a range of HSI data acquired by several sensors. The algorithms will be structured to allow real-time operation on COTS hardware. A detailed commercialization plan is given for the new software.