Open AccessDeep Temporal Convolutional Autoencoder for Unsupervised Representation Learning of Incoherent Polsar Time-Series
Author(s) -
Thomas Di Martino,
Régis Guinvarc'H,
Laetitia Thirion-Lefèvre,
Élise Colin-Koeniguer
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - autoencoder , computer science , artificial intelligence , representation (politics) , series (stratigraphy) , feature learning , deep learning , pattern recognition (psychology) , convolutional neural network , unsupervised learning , time series , machine learning , paleontology , politics , political science , law , biology