Spiral band model for locating Tropical Cyclone centers

• Published in: Pattern recognition letters Vol. 32; no. 6; pp. 761 - 770
• Main Authors: Wei, Kun, Jing, Zhong-liang, Li, Yuan-xiang, Liu, Su-liang
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 15.04.2011; Elsevier
• Subjects: Applied sciences; Center locating; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Particle swarm optimization; Signal and communications theory; Signal, noise; Spiral band model; Telecommunications and information theory; Tropical Cyclone; Spiral band model; Tropical Cyclone; Particle swarm optimization; Center locating; Target tracking; Biomimetics; Clouds; Satellite observation; Thermal imaging
• ISSN: 0167-8655; 1872-7344
• DOI: 10.1016/j.patrec.2010.12.011

► In order to locate Tropical Cyclones automatically, a spiral band model is designed. The information of spiral pattern of the spiral rain cloud bands can be utilized better than existing curvilinear models. The locating approach converts the locating problem to a pattern-matching one. And the process of searching the best estimates of the model parameters is performed by particle swarm optimization method. The result is encouraging. A novel spiral band model is presented instead of existing curvilinear ones to locate Tropical Cyclone (TC) centers automatically. Particle swarm optimization is used to optimize the model parameters. Experimental results on infrared satellite cloud images show that the model can achieve the best average error of 0.1223° (about 13.58 km) on both latitude and longitude in comparison with the best track data. It can assist forecasters in locating TC centers by providing objective information.