2019 Volume 71 Issue 2 Pages 153-157
Aging social infrastructure in urban area and huge scale of natural disaster have brought about occurrence of many sinkhole accidents in recent years. Quick and accurate road diagnosis for wide area that serves for prediction and prevention of these accidents is comprehensively expected. This paper describes 1) SKELE-KA technology which use microwave reflection imaging diagnosis for detection of underground cavity, 2) application of Deep Learning procedure for identification of typical reflection image of underground cavity, and 3) effectiveness of Deep Learning procedure for this diagnosis.