Hurricane Damage Detection from Satellite Imagery using Deep Learning

Abstract

Hurricanes or tropical cyclones are one of the most calamitous natural disasters occurring newlineon earth. They are accompanied by heavy rainfall, floods, and very high-speed winds at the newlinerate of 200 miles/hour causing excessive damage to property and human casualties. When newlinea hurricane occurs, it is essential to assess the damage for providing relief instantly to the newlineaffected people. The extent of damage could be found by analyzing flooded /damaged newlinebuildings. Earlier this was done through a ground survey which was a tedious task. newlineImmediate steps need to be taken and social media platforms like Twitter help to provide newlinerelief to the affected public. However, it is difficult to analyze high-volume data obtained newlinefrom social media posts. Therefore the efficiency and accuracy of useful data extracted newlinefrom the enormous posts related to disasters are low. newline