A Fuzzy Logic Classifier for the Detection of Bounded Weak Echo Regions in Meteorological Images
نویسندگان
چکیده
The presence or absence of a BWER within a storm is important for severe weather forecasting. The three dimensional structure of a BWER is often not clearly deened in radar data and a fuzzy logic approach where the various uncertainties associated with a BWER's radar proole (capping, three-dimensional structure, vertical height, reeectivity ranges, proximity to a mesocyclone, etc.) are taken into account leads to a reliable BWER detection scheme Lakshmanan and Witt (1996)]. The BWER detection scheme, however, provided crisp output in the form of BWERs and non-BWERs while meteorologists provide a fuzzy description, identifying some structures as \marginal" BWERs. The classiier described in this paper identiies BWERs in a way similar to that of a human observer of the same weather phenomena. We discuss the limitations of classiication done by thresh-olding a weighted sum and introduce a fuzzy logic classiier, comparing its performance with that of the weighted-sum thresholder used in Lakshmanan and Witt (1996)].
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