CIT researchers develop new “deep learning” methods to fight wildfires with drones

Aerial photography has been popular ever since people started taking cameras into the sky, starting in the mid-1800s with hot air balloons and continuing to present day in modern aircraft. The use of aerial imagery from unmanned aerial systems (UAS) is a more recent phenomenon, and it provides important data in situations that are dangerous and/or impractical for ground crews.

Current technology relies largely on people to visually interpret UAS imagery, slowing down the process of determining whether images warrant on-the-ground action. Ziyang Tang, a graduate student in Purdue Polytechnic’s Department of Computer and Information Technology, is studying methods to improve computer interpretation of images.

Read more on this story from Purdue University

AerialFire Staff
AerialFire Staff
AerialFire Magazine strives to provide you with breaking aerial firefighting industry news and information.

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