New artificial intelligence technology designed by computer scientists at the University of South Florida is revolutionizing how satellite images are scanned and analyzed, paving the way for faster, more accurate intelligence monitoring and natural disaster response.
The computer program, called Hydra, is an ensemble of convolutional neural networks designed for automatic land use classification. USF researchers developed the program for the Functional Map of the World (fMoW) Challenge, an international competition sponsored by the Intelligence Advanced Research Projects Activity (IARPA). The USF team placed third out of nearly 70 entries from around the world.
Sudeep Sarkar, PhD, professor and chair of USF's Department of Computer Science and Engineering, spearheaded the project along with two postdoctoral researchers, Rodrigo Minetto and Mauricio Pamplona Segundo. To find the original article, click here.