Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
