242 citations · 384 across the 8 of their papers we have counts for
8 papers
High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR
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…
A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali +11
Due to their increasing spread, confidence in neural network predictions became more and more important. However, basic neural networks do not deliver certainty estimates or suffer…
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…
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…
Non-Local Compressive Sensing Based SAR Tomography
Yilei Shi, Xiao Xiang Zhu, Richard Bamler
Tomographic SAR (TomoSAR) inversion of urban areas is an inherently sparse reconstruction problem and, hence, can be solved using compressive sensing (CS) algorithms. This paper pr…
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…
A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR
Yilei Shi, Xiao Xiang Zhu, Wotao Yin +1
regularization is used for finding sparse solutions to an underdetermined linear system. As sparse signals are widely expected in remote sensing, this type of regularization…