IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

- Professor Jaeyoun Hwang’s team at DGIST, in collaboration with Dabeeo Inc., has developed a deep learning technology for object detection using aerial and satellite images. - The technology is anticipated to find applications in various fields, including defense, autonomous driving vehicles, and medical imaging.

Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection.

Prof. Jae Youn Hwang's team, DGIST, develops deep learning technology to segment buildings from aerial images