373 citations · 981 across the 22 of their papers we have counts for
6 papers · 1 filter
Towards SAR Tomographic Inversion via Sparse Bayesian Learning
Kun Qian, Yuanyuan Wang, Xiaoxiang Zhu
Existing SAR tomography (TomoSAR) algorithms are mostly based on an inversion of the SAR imaging model, which are often computationally expensive. Previous study showed perspective…
SAR Tomography via Nonlinear Blind Scatterer Separation
Yuanyuan Wang, Xiao Xiang Zhu
Layover separation has been fundamental to many synthetic aperture radar applications, such as building reconstruction and biomass estimation. Retrieving the scattering profile alo…
Generative Adversarial Networks for Synthesizing InSAR Patches
Philipp Sibler, Yuanyuan Wang, Stefan Auer +2
Generative Adversarial Networks (GANs) have been employed with certain success for image translation tasks between optical and real-valued SAR intensity imagery. Applications inclu…
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
Deep learning in remote sensing has become an international hype, but it is mostly limited to the evaluation of optical data. Although deep learning has been introduced in Syntheti…
SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
Yilei Shi, Richard Bamler, Yuanyuan Wang +1
Multi-baseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausibl…
Multipass SAR Interferometry Based on Total Variation Regularized Robust Low Rank Tensor Decomposition
Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu
Multipass SAR interferometry (InSAR) techniques based on meter-resolution spaceborne SAR satellites, such as TerraSAR-X or COSMO-Skymed, provide 3D reconstruction and the measureme…