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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…
-Net: Superresolving SAR Tomographic Inversion via Deep Learning
Kun Qian, Yuanyuan Wang, Yilei Shi +1
Synthetic aperture radar tomography (TomoSAR) has been extensively employed in 3-D reconstruction in dense urban areas using high-resolution SAR acquisitions. Compressive sensing (…
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…
Single-Look Multi-Master SAR Tomography: An Introduction
Nan Ge, Richard Bamler, Danfeng Hong +1
This paper addresses the general problem of single-look multi-master SAR tomography. For this purpose, we establish the single-look multi-master data model, analyze its implication…
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…
Non-local tensor completion for multitemporal remotely sensed images inpainting
Teng-Yu Ji, Naoto Yokoya, Xiao Xiang Zhu +1
Remotely sensed images may contain some missing areas because of poor weather conditions and sensor failure. Information of those areas may play an important role in the interpreta…
Automatic Detection and Positioning of Ground Control Points Using TerraSAR-X Multi-Aspect Acquisitions
Sina Montazeri, Christoph Gisinger, Michael Eineder +1
Geodetic stereo Synthetic Aperture Radar (SAR) is capable of absolute three-dimensional localization of natural Persistent Scatterer (PS)s which allows for Ground Control Point (GC…
The SARptical Dataset for Joint Analysis of SAR and Optical Image in Dense Urban Area
Yuanyuan Wang, Xiao Xiang Zhu
The joint interpretation of very high resolution SAR and optical images in dense urban area are not trivial due to the distinct imaging geometry of the two types of images. Especia…