Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Motion Estimation Algorithms for Video Compression
Motion Estimation Algorithms for Video Compression
Vector Field Analysis for Oriented Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Implementation of an Automatic Semi-Fluid Motion Analysis Algorithm on a Massively Parallel Computer
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Structure and semi-fluid motion analysis of stereoscopic satellite images for cloud tracking
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach
Journal of Mathematical Imaging and Vision
Automatic Template Matching Method for Tropical Cyclone Eye Fix
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
An Intelligent Tropical Cyclone Eye Fix System Using Motion Field Analysis
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Economic design of variable sampling intervals T2 control charts using genetic algorithms
Expert Systems with Applications: An International Journal
Tropical cyclone eye fix using genetic algorithm with temporal information
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Spiral band model for locating Tropical Cyclone centers
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Tropical cyclones (TCs) are weather systems with vast destructive power. To forecast TC tracks, forecasters need to locate their circulation centers, or eyes. This eye fix process is often done manually in practice. Since subjective elements are involved in the process, forecasters could disagree on the results even when multiple factors are considered. This paper presents an objective TC eye fix method that utilizes genetic algorithm to search for the optimal values of a six-parameter TC model. The results of this study indicate that the proposed method gives the best average error of 0.127^o in latitude/longitude on Mercator projected map with respect to the best track data. This is well within the relative errors of about 0.3^o from the results of different TC warning centers. The method can process 6min of radar data in about 10s when implemented on a notebook computer, meeting practical real time constraints. It provides a practical, independent and objective source of information to assist forecasters to fix TC eye centers.