Deep Learning Based Cyclone Intensity Estimation using INSAT-3D IR Imagery
Author:
Affiliation:
1. New Horizon College of Engineering,Computer Science and Engineering,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502389/10502407/10502881.pdf?arnumber=10502881
Reference10 articles.
1. The deadliest, costliest, and most intense United States tropical cyclones from 1851 to 2006 ((and other frequently requested hurricane facts);Blake;NOAA Technical Memo. NWSTPC-5,2007
2. Long-term hurricane risk assessment and expected damage to residential structures
3. A technique for the analysis and forecasting of tropical cyclone intensities from satellite pictures;Dvorak;NOAA Technical Memo, NESS 36,1972
4. The current status of the UW-CIMSS Advanced Dvorak Technique (ADT);Olander
5. The Advanced Dvorak Technique: Continued Development of an Objective Scheme to Estimate Tropical Cyclone Intensity Using Geostationary Infrared Satellite Imagery
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