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

DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

1 code implementation • 2 Oct 2018 • João Caldeira, W. L. Kimmy Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, Kyle T. Story

In this work, we demonstrate reconstruction of the CMB lensing potential with deep convolutional neural networks (CNN) - ie, a ResUNet.