Xiao Xiang Zhu

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	All	Since 2016
Citations	7838	6617
h-index	43	40
i10-index	128	115

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2025

20102011201220132014201520162017201820192020202155 96 183 185 291 377 401 462 1107 1852 2653 114

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); Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-laboratoryVerified email at dlr.de
Naoto YokoyaThe University of TokyoVerified email at k.u-tokyo.ac.jp
Yilei ShiChair of Remote Sensing Technology, Technical University of MunichVerified email at tum.de
Muhammad ShahzadSchool of Electrical Engineering & Computer Science (SEECS), National University of SciencesVerified email at seecs.edu.pk
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
Michael EinederRemote Sensing Technology Institute, DLRVerified 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
Sina MontazeriGerman Aerospace Center (DLR)Verified email at dlr.de
Devis TuiaWageningen University and ResearchVerified email at wur.nl
Hannes TaubenböckGerman Aerospace Center (DLR)Verified email at dlr.de
Claas GrohnfeldtPrincipal Research Engineer @ Huawei TechnologiesVerified email at huawei.com
Lloyd HughesTechnical University of MunichVerified email at tum.de
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
Jingliang HuTechnical University of Munich (TUM) & German Aerospace Center (DLR)Verified email at tum.de
Nico AdamDLR OberpfaffenhofenVerified email at dlr.de

Xiao Xiang Zhu

Professor for Data Science 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	922	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	424	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	412	2017
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	380	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	323	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	242	2011
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	149	2018
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	136	2017
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	132	2019
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	131	2011
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	111	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	104	2016
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	103	2011
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	94	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	91	2016
Interferometric potential of high resolution spaceborne SAR R Bamler, M Eineder, N Adam, X Zhu, S Gernhardt Photogrammetrie Fernerkundung Geoinformation 5 (2009), 407-420, 2009	91	2009
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	89	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	88	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	85	2018
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	80	2019

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