most citedOn the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict

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eess.IV2020

Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets

Christopher X. Ren, Amanda Ziemann, James Theiler +1

In this work we demonstrate that generative adversarial networks (GANs) can be used to generate realistic pervasive changes in remote sensing imagery, even in an unpaired training…

eess.IV2019

Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery

Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux +1

This paper introduces a new method of generating realistic pervasive changes in the context of evaluating the effectiveness of change detection algorithms in controlled settings. T…