Xiao Xiang Zhu

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Citations	17979	15806
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Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Verified email at dlr.de
Richard BamlerTechnical University of Munich & German Aerospace Center (DLR)Verified email at tum.de
Michael SchmittBundeswehr University MunichVerified email at unibw.de
Yuanyuan WangTechnical University of Munich & German Aerospace CenterVerified email at tum.de
Yilei ShiChair of Remote Sensing Technology, Technical University of MunichVerified email at tum.de
Danfeng Hong (洪丹枫)Professor, Aerospace Information Research Institute, Chinese Academy of SciencesVerified email at aircas.ac.cn
Pedram GhamisiHZDR & IARAI, Group Leader and Research ProfessorVerified email at hzdr.de
Yuansheng HuaSignal Processing in Earth Observation, Technical University of Munich (TUM) & Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR)Verified email at dlr.de
Muhammad ShahzadTechnical University of Munich (TUM), GermanyVerified email at tum.de
Naoto YokoyaThe University of TokyoVerified email at k.u-tokyo.ac.jp
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
Hannes TaubenböckGerman Aerospace Center (DLR) and University of WürzburgVerified email at dlr.de
Sina MontazeriCHECK24Verified email at check24.de
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Jingliang HuTechnical University of Munich (TUM) & German Aerospace Center (DLR)Verified email at tum.de
Qingyu LiTechnical university of MunichVerified email at tum.de
Lloyd HughesEcole Polytechnique Fédérale de Lausanne (EPFL), ECEO, SwitzerlandVerified email at epfl.ch
Michael EinederRemote Sensing Technology Institute, DLRVerified email at dlr.de
Friedrich FraundorferAssociate Professor, TU GrazVerified email at icg.tugraz.at

Xiao Xiang Zhu

Technical University of Munich

Verified email at tum.de - Homepage

Earth Observation AI4EO Signal Processing Data Science Synthetic Aperture Radar


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning in remote sensing: A comprehensive review and list of resources XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36, 2017	2069	2017
Deep recurrent neural networks for hyperspectral image classification L Mou, P Ghamisi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3639-3655, 2017	893	2017
Tomographic SAR inversion by L1-norm regularization—The compressive sensing approach XX Zhu, R Bamler Geoscience and Remote Sensing, IEEE Transactions on 48 (10), 3839-3846, 2010	517	2010
An augmented linear mixing model to address spectral variability for hyperspectral unmixing D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Image Processing 28 (4), 1923-1938, 2018	501	2018
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Nature Machine Intelligence, 2021	489	2021
Very high resolution spaceborne SAR tomography in urban environment XX Zhu, R Bamler IEEE Transactions on Geoscience and Remote Sensing 48 (12), 4296-4308, 2010	464	2010
A sparse image fusion algorithm with application to pan-sharpening XX Zhu, R Bamler IEEE transactions on geoscience and remote sensing 51 (5), 2827-2836, 2012	412	2012
Learning spectral-spatial-temporal features via a recurrent convolutional neural network for change detection in multispectral imagery L Mou, L Bruzzone, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (2), 924-935, 2019	340	2019
Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR XX Zhu, R Bamler IEEE Transactions on Geoscience and Remote Sensing 50 (1), 247-258, 2011	325	2011
Linking points with labels in 3D: A review of point cloud semantic segmentation Y Xie, J Tian, XX Zhu IEEE Geoscience and remote sensing magazine 8 (4), 38-59, 2020	251	2020
Building instance classification using street view images J Kang, M Körner, Y Wang, H Taubenböck, XX Zhu ISPRS journal of photogrammetry and remote sensing 145, 44-59, 2018	237	2018
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342, 2021	228	2021
Unsupervised spectral–spatial feature learning via deep residual Conv–Deconv network for hyperspectral image classification L Mou, P Ghamisi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 56 (1), 391-406, 2017	224	2017
Data fusion and remote sensing: An ever-growing relationship M Schmitt, XX Zhu IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016	214	2016
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks M Wurm, T Stark, XX Zhu, M Weigand, H Taubenböck ISPRS journal of photogrammetry and remote sensing 150, 59-69, 2019	212	2019
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification D Hong, N Yokoya, N Ge, J Chanussot, XX Zhu ISPRS journal of photogrammetry and remote sensing 147, 193-205, 2019	192	2019
Invariant attribute profiles: A spatial-frequency joint feature extractor for hyperspectral image classification D Hong, X Wu, P Ghamisi, J Chanussot, N Yokoya, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3791-3808, 2020	191	2020
CoSpace: Common subspace learning from hyperspectral-multispectral correspondences D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4349-4359, 2019	163	2019
Hyperspectral and LiDAR data fusion using extinction profiles and deep convolutional neural network P Ghamisi, B Höfle, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016	160	2016
SEN12MS--A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion M Schmitt, LH Hughes, C Qiu, XX Zhu arXiv preprint arXiv:1906.07789, 2019	156	2019

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