activity
20182020
most citedLearning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

69 citations · 179 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 49 cited

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

Gerald Baier, Antonin Deschemps, Michael Schmitt +1

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).…

cs.CV2020★ 3 cited

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

Naoto Yokoya, Kazuki Yamanoi, Wei He +4

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

eess.IV2020★ 69 cited

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Jian Kang, Danfeng Hong, Jialin Liu +3

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. These…

eess.IV2019★ 16 cited

Potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection

Michael Schmitt, Gerald Baier, Xiao Xiang Zhu

This article investigates the potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection in comparison to conventional TanDEM-X data, i.e. image pair…

eess.IV2018★ 42 cited

A Nonlocal InSAR Filter for High-Resolution DEM Generation from TanDEM-X Interferograms

Gerald Baier, Cristian Rossi, Marie Lachaise +2

This paper presents a nonlocal InSAR filter with the goal of generating digital elevation models of higher resolution and accuracy from bistatic TanDEM-X strip map interferograms t…