Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series
In this article, a new self-supervised strategy for learning meaningful representations of complex optical satellite image time series (SITS) is presented.The methodology proposed, named Unet-BERT spAtio-temporal Representation eNcoder (U-BARN), exploits irregularly sampled SITS.The designed architecture allows learning rich and discriminative feat