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zhang liangpeiProfessor, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Dacheng TaoNanyang Technological UniversityPreverjeni e-poštni naslov na ntu.edu.sg
Lefei ZhangSchool of Computer Science, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Chen WuLIESMARS, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Mang YeProfessor, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Juhua Liu（刘菊华）Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Zengmao WangAssociate Professor, School of Computer Science, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Wenbin HuSchool of Computer, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Jia WuAssociate Professor, School of Computing, Macquarie University, Sydney, AustraliaPreverjeni e-poštni naslov na mq.edu.au
Yibing ZhanPreverjeni e-poštni naslov na mail.ustc.edu.cn
Yonghao XuLinköping UniversityPreverjeni e-poštni naslov na liu.se
Liang DingUniversity of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Qihuang ZhongWuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Di WangSchool of Computer Science, Wuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Yong LuoWuhan UniversityPreverjeni e-poštni naslov na whu.edu.cn
Li ShenAssociate Professor, Sun Yat-sen UniversityPreverjeni e-poštni naslov na mail.sysu.edu.cn
Hongruixuan ChenThe University of Tokyo / RIKEN AIPPreverjeni e-poštni naslov na edu.k.u-tokyo.ac.jp
Tao ChenProfessor (Associate), Institute of Geophysics and Geomatics, China University of GeosciencesPreverjeni e-poštni naslov na cug.edu.cn
Pingkun YanRensselaer Polytechnic InstitutePreverjeni e-poštni naslov na rpi.edu
Qikui ZhuDepartment of Biomedical Engineering, Case Western Reserve UniversityPreverjeni e-poštni naslov na case.edu

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School of Computer Science, Wuhan University

Preverjeni e-poštni naslov na whu.edu.cn - Domača stran

machine learning computer vision remote sensing


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Deep learning for remote sensing data: A technical tutorial on the state of the art L Zhang, L Zhang, B Du IEEE Geoscience and remote sensing magazine 4 (2), 22-40, 2016	2262	2016
Saliency-guided unsupervised feature learning for scene classification F Zhang, B Du, L Zhang IEEE transactions on Geoscience and Remote Sensing 53 (4), 2175-2184, 2014	621	2014
Recurrent feature reasoning for image inpainting J Li, N Wang, L Zhang, B Du, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	515	2020
Scene classification via a gradient boosting random convolutional network framework F Zhang, B Du, L Zhang IEEE Transactions on geoscience and remote sensing 54 (3), 1793-1802, 2015	478	2015
Stacked convolutional denoising auto-encoders for feature representation B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao IEEE transactions on cybernetics 47 (4), 1017-1027, 2016	452	2016
A low-rank and sparse matrix decomposition-based Mahalanobis distance method for hyperspectral anomaly detection Y Zhang, B Du, L Zhang, S Wang IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1376-1389, 2015	452	2015
Multiscale dynamic graph convolutional network for hyperspectral image classification S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019	437	2019
Unsupervised domain adaptive re-identification: Theory and practice L Song, C Wang, L Zhang, B Du, Q Zhang, C Huang, X Wang Pattern Recognition 102, 107173, 2020	399	2020
Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification Y Dong, Q Liu, B Du, L Zhang IEEE Transactions on Image Processing 31, 1559-1572, 2022	362	2022
Spectral–spatial unified networks for hyperspectral image classification Y Xu, L Zhang, B Du, F Zhang IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5893-5909, 2018	340	2018
Slow feature analysis for change detection in multispectral imagery C Wu, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2858-2874, 2013	339	2013
Random-selection-based anomaly detector for hyperspectral imagery B Du, L Zhang IEEE Transactions on Geoscience and Remote sensing 49 (5), 1578-1589, 2010	327	2010
Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral image F Luo, B Du, L Zhang, L Zhang, D Tao IEEE transactions on cybernetics 49 (7), 2406-2419, 2018	318	2018
Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert Q Zhong, L Ding, J Liu, B Du, D Tao arXiv preprint arXiv:2302.10198, 2023	317	2023
Unsupervised deep slow feature analysis for change detection in multi-temporal remote sensing images B Du, L Ru, C Wu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9976-9992, 2019	312	2019
Weakly supervised learning based on coupled convolutional neural networks for aircraft detection F Zhang, B Du, L Zhang, M Xu IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5553-5563, 2016	309	2016
Change detection in multisource VHR images via deep Siamese convolutional multiple-layers recurrent neural network H Chen, C Wu, B Du, L Zhang, L Wang IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2848-2864, 2019	308	2019
Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding L Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du Pattern Recognition 48 (10), 3102-3112, 2015	299	2015
A discriminative metric learning based anomaly detection method B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6844-6857, 2014	290	2014
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest Y Xu, B Du, L Zhang, D Cerra, M Pato, E Carmona, S Prasad, N Yokoya, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019	289	2019

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