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AbstractAnalysis of NASA science data is analyzed to understand dynamic systems such as the sun, oceans, and Earth's climate as well as to look back in time to explore the origins of the universe. Complex algorithms and intensive data processing are needed to interpret data over time, at various energy ranges, and at different points in space. Of most interest are innovative interpolation, clustering and registration algorithms which radically increase algorithm efficiency and in turn drastically reduce computational time. Infoscitex (IST) proposes a novel, innovative spatial tool (Octet), which uses an octal tree structure (octree) for data representation, search, processing, and display, and shows dramatic improvements over traditional data analysis, processing and fusion software. Octet is designed specifically for feature isolation, volume and density calculation, collision detection, and data fusion and synthesis. At the end of Phase II, Octet will be a robust, fully-documented software package, using XML to promote interoperability and therefore collaborative research between NASA and other research centers.
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