Working alongside a team of MIT Lincoln Laboratory researchers, students at Penn State College of Information Sciences and Technology (IST) developed a computer model that can improve the classification of disaster scene images and inform disaster response.
December 17, 2020

Morgan Dutton writes in the AWS Machine Learning Blog about how researchers are developing faster and more affordable ways to label low-altitude disaster imagery and satellite imagery so that it can be utilized by stakeholders like first responders and state, local, and federal agencies. One program is analyzing imagery from the Low Altitude Disaster Imagery (LADI) dataset, which was developed by the New Jersey Office of Homeland Security and Preparedness and MIT Lincoln Laboratory.