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Deep Learning Quickly Finds Structures Affected by Lava

By Government Computer News

July 31, 2018

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Researchers at Oak Ridge National Laboratory (ORNL) are working with the U.S. Federal Emergency Management Agency to provide insight into the buildings and infrastructure affected by the stream of lava erupting from the Kilauea volcano in Hawaii.

The team is analyzing satellite images of the area around the volcano and combining that information with property ownership data, a process that allows officials to determine which buildings have been damaged and whether people are evacuating ahead of the lava's approach.

The researchers sharpen and adjust satellite images for perspective, selecting segments to help train a convolutional neural network.

ORNL researcher Melanie Laverdiere says, "With deep learning, we now have the power to create one model for a county or a state or a region, something that can be generalizable to a large geographic area."

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