Image registration for distributed acoustic sensing acquired data using convolutional neural networks

Heather K. Hardeman-Vooys, Matt A. D. McDonald, Michael P. Lamoureux

We provide a brief overview of convolutional neural networks. Then we introduce a training set extracted from real data. We test the trained convolutional neural network on a portion of the training set to determine accuracy. Afterwards, we employ this trained convolutional neural network to identify events in data which contains walking and digging events. We then discuss our results which suggests that more than just the source of an event affects the way the event looks in the data.