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http://dx.doi.org/10.5391/JKIIS.2015.25.3.217

A Study on Fuzzy Logic based Clustering Method for Radar Data Analysis  

Lee, Hansoo (Department of Electrical and Computer Engineering, Pusan National University)
Kim, Eun Kyeong (Department of Electrical and Computer Engineering, Pusan National University)
Kim, Sungshin (School of Electrical and Computer Engineering, Pusan National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.3, 2015 , pp. 217-222 More about this Journal
Abstract
Clustering is one of important data mining techniques known as exploratory data analysis and is being applied in various engineering and scientific fields such as pattern recognition, remote sensing, and so on. The method organizes data by abstracting underlying structure either as a grouping of individuals or as a hierarchy of groups. Weather radar observes atmospheric objects by utilizing reflected signals and stores observed data in corresponding coordinate. To analyze the radar data, it is needed to be separately organized precipitation and non-precipitation echo based on similarities. Thus, this paper studies to apply clustering method to radar data. In addition, in order to solve the problem when precipitation echo locates close to non-precipitation echo, fuzzy logic based clustering method which can consider both distance and other properties such as reflectivity and Doppler velocity is suggested in this paper. By using actual cases, the suggested clustering method derives better results than previous method in near-located precipitation and non-precipitation echo case.
Keywords
Hierarchical Clustering; Fuzzy Logic; Radar Data; Anomalous Propagation Echo;
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Times Cited By KSCI : 2  (Citation Analysis)
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