Satellite Image-Based Disaster Response and Damage Assessment System

Computer Engineering

Satellite imaging can be very supportive in the provision of a comprehensive damage assessment as it is crucial element of disaster response. This research will heavily utilize deep learning techniques to come up with a system for automatic damage analysis. This approach is different from traditional disasters where satellite images taken before and after are compared to highlight the changes seen on affected areas and the destroyed infrastructure unlike was previously. This method makes use of most sophisticated approaches, including change detection and CNN’s, to deliver the inspection in a short time, with high accuracy. The system’s effectiveness will be measured by employing various disaster scenarios and marked up with reference to the existing real data. Increased precision and timely appraisal and verification of damages are key benefits of effective implementation. As a result, the disaster response becomes more effective. The though of this technology as a game changer in disaster response and sustainability is outstanding. This way it instantly speeds up the time & level of decision making when emergency situations occur.

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