FEASIBILITY STUDY ON DIAGNOSTIC IMAGING SYSTEM WITH DEEP LEARNING FOR POST－QUAKE RECCONAISSANCE ON THE 2021 EARTHQUAKE OFF THE COAST OF FUKUSHIMA PREFECTURE

In this study, we applied a diagnostic imaging system, which is an upgraded version of a previously proposed diagnostic imaging technology, to the actual damage inspection of timber houses damaged in the 2021 Fukushima earthquake. We also examined the relationship between pixel resolution and damage detection accuracy as a basic study of the imaging method, with an eye to self-diagnosis by occupants using smartphones. The results of damage detection and damage rate calculation using images with a pixel resolution of 0.3 mm/px or less showed that the error in the image diagnosis results was 0.133%, compared to the maximum deviation of 0.567% (assumed to be a permissible error) in the visual measurement by three persons, indicating that the damage rate could be calculated with the same or higher accuracy as the visual measurement.