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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
16452016
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
5172014
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
4102015
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
3802016
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
3072015
Random-selection-based anomaly detector for hyperspectral imagery
B Du, L Zhang
IEEE Transactions on Geoscience and Remote sensing 49 (5), 1578-1589, 2010
2982010
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
2912020
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
2852015
A discriminative metric learning based anomaly detection method
B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6844-6857, 2014
2692014
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
2612018
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
2462016
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
2312016
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
2212013
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
2182018
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
2142020
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
2082019
Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China
T Chen, R Niu, P Li, L Zhang, B Du
Environmental Earth Sciences 63, 533-541, 2011
1952011
Hyperspectral image unsupervised classification by robust manifold matrix factorization
L Zhang, L Zhang, B Du, J You, D Tao
Information Sciences 485, 154-169, 2019
1942019
Hyperspectral remote sensing image subpixel target detection based on supervised metric learning
L Zhang, L Zhang, D Tao, X Huang, B Du
IEEE transactions on geoscience and remote sensing 52 (8), 4955-4965, 2013
1862013
Deeply-supervised CNN for prostate segmentation
Q Zhu, B Du, B Turkbey, PL Choyke, P Yan
2017 international joint conference on neural networks (IJCNN), 178-184, 2017
1842017
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Articles 1–20