Bo Du
Bo Du
School of Computer, Wuhan University, Centre for Quantum Computation and Intelligent Systems
Zweryfikowany adres z whu.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
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
12672016
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
4672014
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
3462015
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
3212016
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
2732015
Random-selection-based anomaly detector for hyperspectral imagery
B Du, L Zhang
IEEE Transactions on Geoscience and Remote sensing 49 (5), 1578-1589, 2010
2642010
A discriminative metric learning based anomaly detection method
B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6844-6857, 2014
2572014
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
2182015
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
2032018
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
1932016
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
1902016
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
1772020
Target detection based on a dynamic subspace
B Du, L Zhang
Pattern Recognition 47 (1), 344-358, 2014
1592014
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
1542013
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
1532013
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
1512019
A sparse representation-based binary hypothesis model for target detection in hyperspectral images
Y Zhang, B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1346-1354, 2014
1482014
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
1412018
Exploring representativeness and informativeness for active learning
B Du, Z Wang, L Zhang, L Zhang, W Liu, J Shen, D Tao
IEEE transactions on cybernetics 47 (1), 14-26, 2015
1382015
Beyond the sparsity-based target detector: A hybrid sparsity and statistics-based detector for hyperspectral images
B Du, Y Zhang, L Zhang, D Tao
IEEE Transactions on Image Processing 25 (11), 5345-5357, 2016
1362016
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