A self-supervised temporal ordering objective plus a pivot score detects persistent, non-seasonal changes in satellite time series with AUROC 0.876.
SatlasPretrain: A Large- Scale Dataset for Remote Sensing Image Understanding,
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OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data
A self-supervised temporal ordering objective plus a pivot score detects persistent, non-seasonal changes in satellite time series with AUROC 0.876.