DOI: 10.11648/j.ajset.20261103.15 ISSN: 2578-8353

An Efficient Tropical Cyclone Center Prediction Scheme Using Firefly Algorithm in Infrared Image (IR)

Douglas Nyabuga
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Tropical cyclones have a strong potential to bring significant economic loss to cyclone-prone areas. Locating the tropical cyclone center is significant and necessary for the timely forecasting of tropical cyclones. The observation of the typhoon's center, primarily carried out through the use of infrared (IR) images, is not easy. In some situations, the typhoon center is identified by the typhoon eye, which is overlaid on an infrared image. Therefore, the purpose of this study is to address the challenges of tropical cyclone center localization in infrared images by developing a firefly algorithm-based optimization scheme for accurate center prediction. This research proposes an efficient tropical cyclone center prediction scheme with optimization performed by the firefly algorithm to predict the central point in tropical cyclone infrared images. In addition, problems associated with pattern matching and other localization challenges are addressed through the optimization process to obtain the most accurate tropical cyclone center. Finally, the proposed scheme achieved highly accurate center localization. The proposed approach contributes to the scientific community by providing an optimization-based framework for tropical cyclone center localization that can support future research in automated cyclone analysis, infrared satellite image processing, and the development of more reliable tropical cyclone forecasting methods.

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