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Classification and Estimation of Typhoon Intensity from Geostationary Meteorological Satellite Images Based on Deep Learning
2022
Atmosphere
In this paper, a novel typhoon intensity classification and estimation network (TICAENet) is constructed to recognize typhoon intensity. The TICAENet model is based on the LeNet-5 model, which uses weight sharing to reduce the number of training parameters, and the VGG16 model, which replaces a large convolution kernel with multiple small kernels to improve feature extraction. Satellite cloud images of typhoons over the Northwest Pacific Ocean and the South China Sea from 1995–2020 are taken as
doi:10.3390/atmos13071113
fatcat:z3niach4anf7nk7dx7ee4b2ysi