Dr. Nandini Rajan (MIT Lincoln Laboratory), Elizabeth Evans (MIT Lincoln Laboratory)
Keywords:
Abstract:
Two approaches for automated cloud detection from telescope data are investigated. The first approach exploits variability of source flux as a detection mechanism. The second approach exploits the spatio-temporal variability of clouds to discriminate them from stellar background. Three algorithms in the second category, based on temporal, statistical and spatial variability as discriminating features, are described and preliminary results are presented. For the spatial approach, performance evaluation with hand-truthed telescope data is presented.
Date of Conference: September 16-19, 2008
Track: