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Auroral Phenomenon Localization, Classification, and Temporal Evolution Tracking
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| In this project, techniques that will aid investigation of auroral phenomena will be developed. The techniques to be developed will be automated and shape model-based and will allow accurate localization of the auroral oval (in the presence of unfriendly background noise) from UVI and IMAGE FUV data. The techniques will provide useful input to downstream analysis tasks, including classification of auroral features and exploration of auroral feature temporal evolution. New, robust automated techniques for feature classification and for exploration of temporal evolution will also be developed. All of these techniques will be incorporated into a unified auroral phenomenon search tool. |
Bibliography
| | A New Method for Auroral Oval Detection in FUV Imagery
Proc., IAPR Conf. on Machine Vision Applications (MVA) '07, Tokyo, May 2007, pp. 583-586
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| New Hypothesis Distinctiveness Measure for Better Ellipse Extraction
Proc., Int'l Conf. on Image Analysis and Recognition '07 (Lecture Notes in Computer Science 4633), Montreal, Aug. 2007, pp. 176-186.
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| New RHT-Based Ellipsoid Recovery Method
C. Cao, T. S. Newman, Proc., ICPR '06, pp. I-622 to I-625
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| Shape-Based Mechanisms for Content-Based Retrieval of Aurora Images
Proc., Wavelet Apps. in Ind. Proc. IV , Oct. 2006, pp. 63830T-1 to 63830T-12
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