Deep Learning-based Damage Mapping with InSAR Coherence Time Series

1 code implementation • 24 May 2021 • Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons

In this study, we propose a novel approach to damage mapping, combining deep learning with the full time history of SAR observations of an impacted region in order to detect anomalous variations in the Earth's surface properties due to a natural disaster.

Time Series Time Series Analysis