Extended Hyperspectral Imaging System Modeling and Implementation for Subpixel Target Detection

For hyperspectral imaging system design and parameter trade-off research, an analytical model to simulate the remote sensing system has been developed and is in progress to be made available to the community. The analytical model includes scene, sensor and target characteristics, and also atmospheric features, background spectral statistics, sensor specifications and target spectral statistics. The model is being implemented as a web-based application through an RIT-hosted website. Predicting system performance has been verified by real world data collected during the RIT SHARE 2012 collection and the data shows consistency with the simulated results on calibration tarps and grass. Also, subpixel target spectral statistics are predicted by this model. Some parameter trade-off examples are given and analyzed to explain the utility of this model.