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Goddard to Work with the Universidad de Extremadura to Increase Efficiency of Parallel Processing of Imaging Data
On December 23, 2004, a Letter of Agreement was signed with Universidad de Extremadura in Spain (UEX) related to Goddard's Recursive Hierarchical Segmentation Software (RHSEG) developed by Dr. James Tilton (Code 606). Technology Description The RHSEG Pre-processing Software significantly improves the extraction of patterns from complex data sets. Optimized for speed and accuracy, this patent-pending algorithm provides the user with precise control for selecting the desired level of detail from the hierarchy of results. The software allows the user to group non-spatially adjacent regions for unprecedented accuracy and flexibility with a wide range of image and data types. Originally designed for remote earth sensing, the RHSEG Pre-processing Software is broadly applicable to a range of applications, from medical imaging to data mining. Researchers at Goddard and UEX are combining their expertise and respective algorithms to improve hyperspectral imaging. The goal is to develop new algorithms that increase the efficiency of parallel processing of imaging data. Under the agreement, UEX has access to the HSEG algorithms as well as remote access to Goddard’s Beowulf PC clusters for parallel processing. Similarly, Goddard has access to UEX’s hyperspectral scene data collected over various semiarid areas in Spain. Advances in HSEG will further enhance its applicability to planetary exploration and terrainmapping. Contact Innovative Partnerships Program Office |
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