Tropical cyclone (TC) forecasting involves the prediction and intensity detection of a storm surge. TC intensity prediction and detection are important to minimize the loss of life and damage caused by TC. This paper proposes an image processing-based method to estimate the TC intensity from satellite images of tropical cyclones. The geometric features of TC images are used for the classification using the multilayer perceptron model. The proposed method classifies TC images over the Bay of Bengal and Arabian Sea with 84% accuracy.
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