373 citations · 981 across the 22 of their papers we have counts for
6 papers · 1 filter
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
Yao Sun, Lichao Mou, Yuanyuan Wang +2
Building height retrieval from synthetic aperture radar (SAR) imagery is of great importance for urban applications, yet highly challenging owing to the complexity of SAR data. Thi…
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…
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks
Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer +2
This paper addresses the highly challenging problem of automatically detecting man-made structures especially buildings in very high resolution (VHR) synthetic aperture radar (SAR)…
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN
Lloyd H. Hughes, Michael Schmitt, Lichao Mou +2
In this letter, we propose a pseudo-siamese convolutional neural network (CNN) architecture that enables to solve the task of identifying corresponding patches in very-high-resolut…
Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition
Jian Kang, Yuanyuan Wang, Michael Schmitt +1
The most unique advantage of multipass SAR interferometry (InSAR) is the retrieval of long term geophysical parameters, e.g. linear deformation rates, over large areas. Recently, a…