DETECTION LOCATION AND NEEDS FROM KITS SET UP IMMEDIATELY AFTER A LARGE-SCALE EARTHQUAKE DISASTER BY VULNERABLE PEOPLE: USING YOLOv5 AND TIME SERIES SAR IMAGES

Abstract

When an earthquake occurs, the larger the scale of the disaster, the harder it is to support the victims’ needs. In fact, even the most meager support for victims has become quite difficult. Furthermore, it is also known that even with the use of mobile phones and disaster-prevention applications, the greater the earthquake disaster. The authors have developed multiple reflectors observable by synthetic-aperture radar (SAR) satellites and differing backscattering coefficients, and proposed having them set up by victims immediately after a large-scale earthquake disaster occurs, as well as a means to ascertain their location and needs. In this study, we propose a method for detecting reflectors observed in a wide area SAR image by combining the object detection algorithm YOLOv5 and an anomaly detection method using time-series SAR images. Through the analysis in this study, we were able to detect 8 reflectors out of 9 observed in a 10×10 km SAR image.