Can AI automate damage assessments after a disaster?

Can AI automate damage assessments after a disaster?
What if artificial intelligence and machine learning could automate and accelerate damage assessments taken from satellite imagery in the aftermath of a natural disaster?

That’s the question the Defense Innovation Unit is asking experts with it’s xView2 Challenge.

Satellite imagery is frequently used for damage assessments following natural disasters, from hurricanes to forest fires. For example, following Hurricane Dorian the National Geospatial-Intelligence Agency was able to use satellite imagery to tell responders what infrastructure was damaged, which roads were still operational and which airfields were ready to receive aid.

Read the full article on C4ISRNET

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