A Review Paper on Cyclone Intensity Estimation on INSAT 3D IR Imagery using Deep Learning Algorithms

Due to the various dangers involved, especially tropical cyclones, they are one of the most common and deadly calamities in the world. The very important primary step in monitoring this destructive disaster is by estimating its intensity. The aim of this research is to determine intensity of cyclones. For the estimation of cyclones and determination of their intensity, various methods have been created. It is a difficult task which requires speed and efficiency. This paper shows comparison between various types of deep learning algorithms on infrared satellite imagery dataset for tropical cyclone intensity estimation. A side-by-side comparison research revealed that the detection of the tropical cyclone intensity evaluated via the models derived from different machine learning algorithms is significantly impacted by the use of various infrared (IR) channels.