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Title : TROPICAL CYCLONE INTENSITY ESTIMATION USING NEURAL NETWORKS
Company : MITRE
File Name : Kulkarni_1.pdf
Size : 652956
Type : application/pdf
Date : 03-Jul-2010
Downloads : 4

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Featured Paper by

Arun Kulkarni, Richard Bankert and Michael Hadjimichael

In this paper we present two neural network models to estimate tropical cyclone (TC) intensity using data obtained from the Special Sensor Microwave Imager (SSM/I) on board Defense Meteorological Satellite Program (DMSP) satellites. A set of 322 SSM/I images (512 km x 512 km), centered on a TC with known best-track intensity, has been used to compare the two neural network based approaches. We extract a set of features that include TC eye characteristics, rain band features, relative date, and location among others.
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