Researchers are using AI to search satellite images for unexploded bombs dropped in Cambodia during the Vietnam War.
The system uses object recognition algorithms that detect the unique features of bomb craters, including their shapes, colors, textures, and sizes. These algorithms then scan satellite images for signals of the craters.
The Ohio State University team first used the system to find craters in a village in the province of Prey Veng, a heavily bombed area around 30 kilometers from the Vietnam border.
The model increased the bomb crater detection by more than 160 percent over standard objective recognition algorithms, according to a study published in the journal PLOS ONE.
Follow the story at https://thenextweb.com/neural/2020/03/25/ai-is-searching-for-unexploded-vietnam-war-bombs-in-cambodia/