Abstract:
Disaster Damage Detection System is a desktop based application which will use machine learning algorithm to perform classification on the given inputs i.e. (Latitude, Longitude, Magnitude, and Intensity) and will predict the damage that can be caused due to disaster. The system is first trained using training data sets. The system predicts the area damaged due to earthquake and flood, deaths due to earthquake, flood and financial-loss due to earthquake and displacement of houses due to flood.Disaster Damage Detection System also tells the difference between two satellite images. The system will analyze both images and will find the similarity index between the images. Image will be pre-disaster and post-disaster which will be analyzed to tell how much area is damaged.Disaster Damage Detection System can be used by the disaster management authorities. It can play important role in the recovery of damage caused by disaster and can help authorities to react properly to the disaster.
