Tracking fuzzy storm centers in Doppler radar images

We describe an automatic storm tracking system to help with the forecasting of severe storms. The concepts fuzzy point, fuzzy vector, fuzzy length of a fuzzy vector, and the fuzzy angle between two non-zero fuzzy vectors are first examined. We use a region splitting algorithm with dynamic thresholdi...

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Bibliographic Details
Main Authors: Cheng, D., Mercer, R.E., Barron, J.L., Joe, P.
Format: Conference Proceeding
Language:English
Subjects:
Cities and towns
Doppler radar
Fuzzy set theory
Fuzzy sets
Meteorological radar
Radar imaging
Radar tracking
Storms
Target tracking
Weather forecasting
Online Access:Request full text
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Summary:We describe an automatic storm tracking system to help with the forecasting of severe storms. The concepts fuzzy point, fuzzy vector, fuzzy length of a fuzzy vector, and the fuzzy angle between two non-zero fuzzy vectors are first examined. We use a region splitting algorithm with dynamic thresholding to determine storm masses in Doppler radar intensity images. We represent the center of an hypothesized storm using a fuzzy point. These fuzzy storm centers are tracked over time using an incremental relaxation algorithm. The algorithms are tested on actual radar images obtained from the Atmospheric Environment Service radar station at King City, Ontario, Canada. The algorithms are capable of producing storm tracks which closely match human perception.
DOI:10.1109/ICIP.1996.561064