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ECE MS Defense: "Performance Prediction of Hyperspectral Target Detection Algorithms via Importance Sampling," Cooper Loughlin

Abstract: Remote Hyperspectral Imaging (HSI) is a powerful tool for identifying different materials on the surface of a large geographic area. Detection algorithms have been developed to detect specific target materials of interest in imaged scenes. Hyperspectral detection performance depends on the variability of the particular materials in a scene and the detection algorithm being used. Performance prediction of detection algorithms is important for understanding the capabilities and limitations of hyperspectral target detection. In this thesis, we present a robust and efficient technique...

Monday, June 25, 2018 at 1:00pm


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