Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data

1 code implementation • 23 Nov 2020 • Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya

We synthesize both optical RGB and synthetic aperture radar (SAR) remote sensing images from land cover maps and auxiliary raster data using generative adversarial networks (GANs).

Image Generation

Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping

1 code implementation • 9 Jun 2020 • Naoto Yokoya, Kazuki Yamanoi, wei he, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi

We propose a framework that estimates inundation depth (maximum water level) and debris-flow-induced topographic deformation from remote sensing imagery by integrating deep learning and numerical simulation.

Change Detection

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

no code implementations • 6 Mar 2020 • Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir

Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration.