Xiao Xiang Zhu

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	All	Since 2015
Citations	7071	6234
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Co-authors

Richard BamlerGerman Aerospace Center (DLR) & Technical University of MunichVerified email at dlr.de
Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Verified email at dlr.de
Yuanyuan WangDepartment of EO Data Science, German Aerospace CenterVerified email at tum.de
Michael SchmittMunich University of Applied SciencesVerified email at hm.edu
Pedram GhamisiHelmholtz-Zentrum Dresden-Rossendorf, Division Exploration, Machine Learning Group (head)Verified email at hzdr.de
Danfeng Hong (洪丹枫)German Aerospace Center (DLR)Verified email at dlr.de
Naoto YokoyaThe University of TokyoVerified email at k.u-tokyo.ac.jp
Muhammad ShahzadSchool of Electrical Engineering & Computer Science (SEECS), National University of SciencesVerified email at seecs.edu.pk
Yilei ShiChair of Remote Sensing Technology, Technical University of MunichVerified email at tum.de
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
Michael EinederRemote Sensing Technology Institute, DLRVerified email at dlr.de
Sina MontazeriGerman Aerospace Center (DLR)Verified email at dlr.de
Claas GrohnfeldtSenior Research Engineer @ Huawei TechnologiesVerified email at huawei.com
Hannes TaubenböckGerman Aerospace Center (DLR)Verified email at dlr.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
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
Nico AdamDLR OberpfaffenhofenVerified email at dlr.de
Friedrich FraundorferAssociate Professor, TU GrazVerified email at icg.tugraz.at
Lloyd HughesTechnical University of MunichVerified email at tum.de
Peter ReinartzHead of Department at German Aerospace Center (DLR), Prof. at University of OsnabrueckVerified email at dlr.de

Xiao Xiang Zhu

Professor for Signal Processing in Earth Observation, TUM & Department Head "EO Data Science", DLR

Verified email at tum.de - Homepage

Signal processing Machine Learning Earth Observation 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	809	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	414	2010
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	370	2010
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	368	2017
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	306	2012
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	233	2011
Demonstration of super-resolution for tomographic SAR imaging in urban environment XX Zhu, R Bamler IEEE Transactions on Geoscience and Remote Sensing 50 (8), 3150-3157, 2011	128	2011
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	118	2019
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	117	2017
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	116	2018
Tomographic imaging and monitoring of buildings with very high resolution SAR data D Reale, G Fornaro, A Pauciullo, X Zhu, R Bamler IEEE Geoscience and remote sensing letters 8 (4), 661-665, 2011	106	2011
Let's do the time warp: Multicomponent nonlinear motion estimation in differential SAR tomography XX Zhu, R Bamler IEEE Geoscience and Remote Sensing Letters 8 (4), 735-739, 2011	102	2011
Data fusion and remote sensing: An ever-growing relationship M Schmitt, XX Zhu IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016	96	2016
Interferometric potential of high resolution spaceborne SAR R Bamler, M Eineder, N Adam, X Zhu, S Gernhardt Photogrammetrie-Fernerkundung-Geoinformation 2009 (5), 407-419, 2009	91	2009
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	89	2016
A self-improving convolution neural network for the classification of hyperspectral data P Ghamisi, Y Chen, XX Zhu IEEE Geoscience and Remote Sensing Letters 13 (10), 1537-1541, 2016	87	2016
Extinction profiles for the classification of remote sensing data P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, RA Lotufo IEEE Transactions on Geoscience and Remote Sensing 54 (10), 5631-5645, 2016	87	2016
Superresolving SAR tomography for multidimensional imaging of urban areas: Compressive sensing-based TomoSAR inversion XX Zhu, R Bamler IEEE Signal Processing Magazine 31 (4), 51-58, 2014	84	2014
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	77	2018
Facade reconstruction using multiview spaceborne TomoSAR point clouds XX Zhu, M Shahzad IEEE Transactions on Geoscience and Remote Sensing 52 (6), 3541-3552, 2013	69	2013

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