Dynamic Contaminant Identification in Water
We describe how we plan to convert a traditional data collection sensor and ocean model into a DDDAS enabled system for identifying contaminants and then reacting with different models, simulations, and sensing strategies in a symbiotic manner. The sensor is just as useful in water as it would be on Mars for material identification. A successful terrestrial application of the sensor will lead to many new applications of the device and possible technology transfer to the private sector.
KeywordsMarkov Chain Monte Carlo Hyperspectral Imaging Spectral Element Spectral Element Method Kalman Filter Approach
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