Classifying, Monitoring and Tracking Precipitation Cells by Means of Attribute Trees
نویسنده
چکیده
When interpreting weather radar images, a meteorologist starts by considering the general appearance of sky conditions, that is, the overall organization and shapes of echoes. On the other hand, automated radar image analysis typically focuses on single pixels. We believe that pixel-by-pixel processing is too local and will irrevocably remain inferior to real meteorologists, which utilize context in interpretations. In this paper, we review and extend our topdown approach presented in the COST-75 seminar in Locarno, Switzerland (Peura et al. 1998).
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