AUTOMATION TECHNOLOGY OF SEISMIC DAMAGE INVESTIGATION FOR TIMBER HOUSES USING DEEP LEARNING

In this paper, to achieve the fast and detailed evaluation of seismic damage, novel diagnostic imaging applied multiple image recognition techniques (Classification, Detection, Segmentation) in deep learning is proposed. Dataset from images generated by Generative Adversarial Network (GAN) brings high-accurate real damaged images. It revealed that can extract precisely area with minimum noise. Furthermore, result damage extraction calculate rate exterior wall.