A Survey: An Efficient Approach towards Thunderstorm Detection Using Saliency Map

Thunderstorm is a sudden electrical expulsion manifested by a blaze of lightening with a sound. It is one of the most spectacular mesoscale weather phenomena in the atmosphere which occurs seasonally. On the other hand, detection of thunderstorms is said to be the most complicated task in weather forecasting. Every thunderstorm produce lightening, kills more people every year. Heavy rain from thunderstorm leads to flooding and causes extensive loss to property and living organisms. In this regards, Saliency Map method is used to make important decision to accurately construct a system. The present research adopted clustering and wavelet transform techniques in order to improve the prediction rate to a greater extent. The study carried on thunderstorm prediction using the clustering and wavelet techniques resulting with higher accuracy. The proposed model yields the accuracy for identification of thunderstorm.