Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach

1 code implementation • 11 Aug 2021 • Aidan M. Swope, Xander H. Rudelis, Kyle T. Story

Using a dataset of 47 million unlabeled coterminous image triplets, we train an encoder to produce semantically meaningful representations from any possible combination of channels from the input sensors.

Representation Learning Self-Supervised Learning +1