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Automatic typhoon eye identification using QuikSCAT data and spiral cloud image
Author(s)
Warunsin, Kulwarun
Date Issued
December 16, 2014
Type
Conference Paper
Abstract
This paper presents an automatic typhoon eye identification using combined features from QuikSCAT satellite and spiral cloud image. Using only cloud information may lead to excessive time to achieve the search solution if encountering ambiguous cloud shape. Therefore, QuikSCAT wind information is used to estimate the candidate region of interest (ROI) and eye location in order to restrain searching range of spiral cloud. The candidate eye location is further expanded to search for the best eye location using the spiral curve model (SCM). The experimental results demonstrate significant improvement in the eye location identification with approximately 60.5% reduction in distance error compared to the three references.
Citation
International Conference on Control Automation and Systems, 212-216, 2014