دورية أكاديمية

Fuzzy Rule–Based Approach for Detection of Bounded Weak-Echo Regions in Radar Images.

التفاصيل البيبلوغرافية
العنوان: Fuzzy Rule–Based Approach for Detection of Bounded Weak-Echo Regions in Radar Images.
المؤلفون: Pal, Nikhil R., Mandal, Achintya K., Pal, Srimanta, Das, Jyotirmay, Lakshmanan, V.
المصدر: Journal of Applied Meteorology & Climatology; Sep2006, Vol. 45 Issue 9, p1304-1312, 9p, 2 Diagrams, 5 Charts, 2 Graphs
مصطلحات موضوعية: WEATHER forecasting, REMOTE-sensing images, RADAR meteorology, WEATHER radar networks, ACCLIMATIZATION, METEOROLOGICAL services, CLIMATOLOGY, MANAGEMENT
مستخلص: A method for the detection of a bounded weak-echo region (BWER) within a storm structure that can help in the prediction of severe weather phenomena is presented. A fuzzy rule–based approach that takes care of the various uncertainties associated with a radar image containing a BWER has been adopted. The proposed technique automatically finds some interpretable (fuzzy) rules for classification of radar data related to BWER. The radar images are preprocessed to find subregions (or segments) that are suspected candidates for BWERs. Each such segment is classified into one of three possible cases: strong BWER, marginal BWER, or no BWER. In this regard, spatial properties of the data are being explored. The method has been tested on a large volume of data that are different from the training set, and the performance is found to be very satisfactory. It is also demonstrated that an interpretation of the linguistic rules extracted by the system described herein can provide important characteristics about the underlying process. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:15588424
DOI:10.1175/JAM2408.1