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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

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