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Robust Localization, Classification, and Temporal Evolution Tracking in Auroral Data
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| A project to develop techniques that aid investigation of auroral phenomena is proposed. The project involves exploiting shape-based techniques that can enable accurate localization of the auroral oval (in the presence of unfriendly background noise), classification of auroral features, and auroral temporal evolution tracking from UVI and IMAGE FUV data, and wrapping these techniques into a web-based content-based image retrieval system. The work includes development of new, robust automated techniques for feature classification and for exploration of temporal evolution. |
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