An efficient DAS signal recognition method in complicated urban environments

Abstract

An attention-based ResNet model is proposed for DAS signal recognition, by focusing on the key time-frequency information through feature attention of channel and local structure. The best recognition accuracy and computation efficiency are simultaneously achieved.