activity
20182022
most citedSo2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

53 citations · 63 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV20223 cited

Geo-Information Harvesting from Social Media Data

Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai +9

As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective s…

eess.SP2020

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…

eess.SP20204 cited

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…

eess.IV2020

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…

eess.SP2020

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…

cs.CV201953 cited

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu +14

Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images…