| An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data X Liu, W Xia, B Wang, L Zhang IEEE Transactions on Geoscience and Remote Sensing 49 (2), 757-772, 2010 | 202 | 2010 |
| Graph and total variation regularized low-rank representation for hyperspectral anomaly detection T Cheng, B Wang IEEE Transactions on Geoscience and Remote Sensing 58 (1), 391-406, 2019 | 197 | 2019 |
| Fusion of hyperspectral and multispectral images: A novel framework based on generalization of pan-sharpening methods Z Chen, H Pu, B Wang, GM Jiang IEEE Geoscience and Remote Sensing Letters 11 (8), 1418-1422, 2014 | 176 | 2014 |
| A novel spatial–spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery H Pu, Z Chen, B Wang, GM Jiang IEEE Transactions on Geoscience and Remote Sensing 52 (11), 7008-7022, 2014 | 121 | 2014 |
| Saliency-based compressive sampling for image signals Y Yu, B Wang, L Zhang IEEE signal processing letters 17 (11), 973-976, 2010 | 117 | 2010 |
| Airport target detection in remote sensing images: A new method based on two-way saliency D Zhu, B Wang, L Zhang IEEE Geoscience and Remote Sensing Letters 12 (5), 1096-1100, 2015 | 99 | 2015 |
| Semisupervised classification for hyperspectral images using graph attention networks A Sha, B Wang, X Wu, L Zhang IEEE Geoscience and Remote Sensing Letters 18 (1), 157-161, 2020 | 75 | 2020 |
| Hyperspectral anomaly detection based on low-rank representation and learned dictionary Y Niu, B Wang Remote Sensing 8 (4), 289, 2016 | 74 | 2016 |
| Orthogonal bases approach for the decomposition of mixed pixels in hyperspectral imagery X Tao, B Wang, L Zhang IEEE Geoscience and Remote Sensing Letters 6 (2), 219-223, 2009 | 66 | 2009 |
| Integration of super-pixel segmentation and deep-learning methods for evaluating earthquake-damaged buildings using single-phase remote sensing imagery D Song, X Tan, B Wang, L Zhang, X Shan, J Cui International Journal of Remote Sensing 41 (3), 1040-1066, 2020 | 62 | 2020 |
| Airport detection in remote sensing images: A method based on saliency map X Wang, Q Lv, B Wang, L Zhang Cognitive neurodynamics 7, 143-154, 2013 | 61 | 2013 |
| Curriculum-style local-to-global adaptation for cross-domain remote sensing image segmentation B Zhang, T Chen, B Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 58 | 2021 |
| A novel marine oil spillage identification scheme based on convolution neural network feature extraction from fully polarimetric SAR imagery D Song, Z Zhen, B Wang, X Li, L Gao, N Wang, T Xie, T Zhang IEEE Access 8, 59801-59820, 2020 | 58 | 2020 |
| Independent component analysis for blind unmixing of hyperspectral imagery with additional constraints W Xia, X Liu, B Wang, L Zhang IEEE transactions on geoscience and remote sensing 49 (6), 2165-2179, 2011 | 58 | 2011 |
| Semisupervised scene classification for remote sensing images: A method based on convolutional neural networks and ensemble learning X Dai, X Wu, B Wang, L Zhang IEEE Geoscience and Remote Sensing Letters 16 (6), 869-873, 2019 | 54 | 2019 |
| Pulse discrete cosine transform for saliency-based visual attention Y Yu, B Wang, L Zhang 2009 IEEE 8th International Conference on Development and Learning, 1-6, 2009 | 53 | 2009 |
| Hebbian-based neural networks for bottom-up visual attention and its applications to ship detection in SAR images Y Yu, B Wang, L Zhang Neurocomputing 74 (11), 2008-2017, 2011 | 51 | 2011 |
| A novel approach based on fisher discriminant null space for decomposition of mixed pixels in hyperspectral imagery J Jin, B Wang, L Zhang IEEE Geoscience and Remote Sensing Letters 7 (4), 699-703, 2010 | 51 | 2010 |
| An approach for visual attention based on biquaternion and its application for ship detection in multispectral imagery Z Ding, Y Yu, B Wang, L Zhang Neurocomputing 76 (1), 9-17, 2012 | 50 | 2012 |
| Total variation and sparsity regularized decomposition model with union dictionary for hyperspectral anomaly detection T Cheng, B Wang IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1472-1486, 2020 | 48 | 2020 |
