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bo du
bo du
School of Computer Science, Wuhan University
Verified email at whu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
20642016
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
6002014
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
4582015
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
4352016
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
4062020
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
4042015
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
3782020
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
3612019
Random-selection-based anomaly detector for hyperspectral imagery
B Du, L Zhang
IEEE Transactions on Geoscience and Remote sensing 49 (5), 1578-1589, 2010
3262010
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
3092018
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
3072018
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
2962016
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
2952013
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
2932015
A discriminative metric learning based anomaly detection method
B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6844-6857, 2014
2842014
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
2752019
Simultaneous spectral-spatial feature selection and extraction for hyperspectral images
L Zhang, Q Zhang, B Du, X Huang, YY Tang, D Tao
IEEE Transactions on Cybernetics 48 (1), 16-28, 2016
2572016
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
2532019
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
2512019
A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion
C Wu, B Du, X Cui, L Zhang
Remote Sensing of Environment 199, 241-255, 2017
2442017
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Articles 1–20