Xiao Xiang Zhu

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Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Adresse e-mail validée de dlr.de
Richard BamlerTechnical University of Munich & German Aerospace Center (DLR)Adresse e-mail validée de tum.de
Michael SchmittBundeswehr University MunichAdresse e-mail validée de unibw.de
Yuanyuan WangTechnical University of Munich & German Aerospace CenterAdresse e-mail validée de tum.de
Yilei ShiChair of Remote Sensing Technology, Technical University of MunichAdresse e-mail validée de tum.de
Danfeng Hong (洪丹枫)Aerospace Information Research Institute, Chinese Academy of SciencesAdresse e-mail validée de aircas.ac.cn
Yuansheng HuaSignal Processing in Earth Observation, Technical University of Munich (TUM) & Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR)Adresse e-mail validée de dlr.de
Pedram GhamisiHZDR & IARAI, Group Leader and Research ProfessorAdresse e-mail validée de hzdr.de
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaAdresse e-mail validée de whu.edu.cn
Naoto YokoyaThe University of TokyoAdresse e-mail validée de k.u-tokyo.ac.jp
Muhammad ShahzadTechnical University of Munich (TUM), GermanyAdresse e-mail validée de tum.de
Jocelyn ChanussotGrenoble Institute of TechnologyAdresse e-mail validée de gipsa-lab.grenoble-inp.fr
Hannes TaubenböckGerman Aerospace Center (DLR) and University of WürzburgAdresse e-mail validée de dlr.de
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Adresse e-mail validée de epfl.ch
Sudipan SahaIndian Institute of Technology DelhiAdresse e-mail validée de scai.iitd.ac.in
Sina MontazeriCHECK24Adresse e-mail validée de check24.de
zhang liangpeiProfessor, Wuhan UniversityAdresse e-mail validée de whu.edu.cn
Jingliang HuTechnical University of Munich (TUM) & German Aerospace Center (DLR)Adresse e-mail validée de tum.de
Qingyu LiTechnical university of MunichAdresse e-mail validée de tum.de
Lloyd HughesEcole Polytechnique Fédérale de Lausanne (EPFL), ECEO, SwitzerlandAdresse e-mail validée de epfl.ch

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Xiao Xiang Zhu

Technical University of Munich

Adresse e-mail validée de tum.de - Page d'accueil

Earth Observation AI4EO Signal Processing Data Science Synthetic Aperture Radar


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2248	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	984	2017
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	593	2021
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	535	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	534	2018
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	480	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	425	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	379	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	339	2011
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	312	2021
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	289	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	255	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	242	2017
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	241	2019
Data fusion and remote sensing: An ever-growing relationship M Schmitt, XX Zhu IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016	229	2016
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	211	2020
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	205	2019
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	180	2019
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	172	2019
Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018	169	2018

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