| Remote sensing image scene classification: Benchmark and state of the art G Cheng, J Han, X Lu Proceedings of the IEEE 105 (10), 1865-1883, 2017 | 2223 | 2017 |
| AID: A benchmark data set for performance evaluation of aerial scene classification GS Xia, J Hu, F Hu, B Shi, X Bai, Y Zhong, L Zhang, X Lu IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3965-3981, 2017 | 1668 | 2017 |
| Manifold regularized sparse NMF for hyperspectral unmixing X Lu, H Wu, Y Yuan, P Yan, X Li IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2815-2826, 2012 | 399 | 2012 |
| Exploring models and data for remote sensing image caption generation X Lu, B Wang, X Zheng, X Li IEEE Transactions on Geoscience and Remote Sensing 56 (4), 2183-2195, 2017 | 384 | 2017 |
| Graph-regularized low-rank representation for destriping of hyperspectral images X Lu, Y Wang, Y Yuan IEEE transactions on geoscience and remote sensing 51 (7), 4009-4018, 2013 | 323 | 2013 |
| Spectral–spatial attention network for hyperspectral image classification H Sun, X Zheng, X Lu, S Wu IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3232-3245, 2019 | 280 | 2019 |
| Remote sensing scene classification by unsupervised representation learning X Lu, X Zheng, Y Yuan IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5148-5157, 2017 | 276 | 2017 |
| Hyperspectral image superresolution by transfer learning Y Yuan, X Zheng, X Lu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 241 | 2017 |
| Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection Y Zhang, Y Yuan, Y Feng, X Lu IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5535-5548, 2019 | 231 | 2019 |
| Scene recognition by manifold regularized deep learning architecture Y Yuan, L Mou, X Lu IEEE transactions on neural networks and learning systems 26 (10), 2222-2233, 2015 | 224 | 2015 |
| Hsa-rnn: Hierarchical structure-adaptive rnn for video summarization B Zhao, X Li, X Lu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 216 | 2018 |
| Learning deep event models for crowd anomaly detection Y Feng, Y Yuan, X Lu Neurocomputing 219, 548-556, 2017 | 207 | 2017 |
| Remote sensing scene classification by gated bidirectional network H Sun, S Li, X Zheng, X Lu IEEE Transactions on Geoscience and Remote Sensing 58 (1), 82-96, 2019 | 206 | 2019 |
| Nonlocal graph convolutional networks for hyperspectral image classification L Mou, X Lu, X Li, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8246-8257, 2020 | 200 | 2020 |
| Discovering diverse subset for unsupervised hyperspectral band selection Y Yuan, X Zheng, X Lu IEEE Transactions on Image Processing 26 (1), 51-64, 2016 | 197 | 2016 |
| Deep semantic understanding of high resolution remote sensing image B Qu, X Li, D Tao, X Lu 2016 International conference on computer, information and telecommunication …, 2016 | 194 | 2016 |
| Semi-supervised multitask learning for scene recognition X Lu, X Li, L Mou IEEE transactions on cybernetics 45 (9), 1967-1976, 2014 | 187 | 2014 |
| Hierarchical recurrent neural network for video summarization B Zhao, X Li, X Lu Proceedings of the 25th ACM international conference on Multimedia, 863-871, 2017 | 181 | 2017 |
| Spatiotemporal statistics for video quality assessment X Li, Q Guo, X Lu IEEE Transactions on Image Processing 25 (7), 3329-3342, 2016 | 173 | 2016 |
| A feature aggregation convolutional neural network for remote sensing scene classification X Lu, H Sun, X Zheng IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7894-7906, 2019 | 172 | 2019 |
