Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2909218
Abstract: In this letter, we use deep neural networks for unsupervised clustering of seismic data. We perform the clustering in a feature space that is simultaneously optimized with the clustering assignment, resulting in learned feature representations… read more here.
Keywords: seismic signals; clustering seismic; deep convolutional; unsupervised clustering ... See more keywords