Study of Event Classification From Distributed Acoustic Sensor

Abstract

We classify the events of distributed acoustic sensor by observing acoustic signals with image processing and statistical feature detection of RGB and grey image. We obtain data by introducing light pulse inside the fiber and collecting the Rayleigh back scattered signals. This data contains strain information of different events. We have used this image processing for classification of walking, digging, and cycling events.