To spot fire damage from space, point this AI at satellite imagery

To spot fire damage from space, point this AI at satellite imagery

http://ift.tt/2IbHS1v

To spot fire damage from space, point this AI at satellite imagery

A new deep-learning algorithm can identify the devastation of fires by studying aerial photographs.

How it works: From satellite images taken before and after the California wildfires of 2017, researchers created a dataset of buildings that were either damaged or left unscathed.

The results: They tweaked a pre-trained ImageNet neural network and got it to spot damaged buildings with an accuracy of up to 85 percent.

Why it matters: After a disaster, pinpointing the most hard-hit areas could save lives and help with relief efforts. The researchers also released the dataset to the public, which could improve other research that requires satellite images, like conservation and developmental aid work.

Image credit:

  • European Space Agency | Flickr

Tech

via Technology Review Feed – Tech Review Top Stories http://ift.tt/1XdUwhl

March 8, 2018 at 08:40AM

About peterjang73

A nerdy father of two, a husband of a beautiful and understanding wife, an engineer who loves anime and tinkering with PCs and games, but most of all, loves God.
This entry was posted in Family and tagged , . Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.