53 citations · 66 across the 7 of their papers we have counts for
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HyperLISTA-ABT: An Ultra-light Unfolded Network for Accurate Multi-component Differential Tomographic SAR Inversion
Kun Qian, Yuanyuan Wang, Peter Jung +2
Deep neural networks based on unrolled iterative algorithms have achieved remarkable success in sparse reconstruction applications, such as synthetic aperture radar (SAR) tomograph…
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography
Kun Qian, Yuanyuan Wang, Peter Jung +2
Finding sparse solutions of underdetermined linear systems commonly requires the solving of L1 regularized least squares minimization problem, which is also known as the basis purs…
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…
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…
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…
Spaceborne Staring Spotlight SAR Tomography - A First Demonstration with TerraSAR-X
Nan Ge, Fernando Rodriguez Gonzalez, Yuanyuan Wang +2
With the objective of exploiting hardware capabilities and preparing the ground for the next-generation X-band synthetic aperture radar (SAR) missions, TerraSAR-X and TanDEM-X are…