| 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 | 310 | 2018 |
| 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 | 251 | 2019 |
| Hyperspectral image classification via a random patches network Y Xu, B Du, F Zhang, L Zhang ISPRS journal of photogrammetry and remote sensing 142, 344-357, 2018 | 191 | 2018 |
| Fast spatio-temporal residual network for video super-resolution S Li, F He, B Du, L Zhang, Y Xu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 154 | 2019 |
| Beyond the patchwise classification: Spectral-spatial fully convolutional networks for hyperspectral image classification Y Xu, B Du, L Zhang IEEE Transactions on Big Data 6 (3), 492-506, 2019 | 125 | 2019 |
| Assessing the threat of adversarial examples on deep neural networks for remote sensing scene classification: Attacks and defenses Y Xu, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1604-1617, 2020 | 105 | 2020 |
| Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification D Wang, B Du, L Zhang, Y Xu IEEE Transactions on Geoscience and Remote Sensing, 2020 | 90 | 2020 |
| Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification Y Xu, B Du, L Zhang IEEE Transactions on Image Processing 30, 8671-8685, 2021 | 85 | 2021 |
| Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp, D Kreil arXiv preprint arXiv:2206.00515, 2022 | 79 | 2022 |
| Self-ensembling attention networks: Addressing domain shift for semantic segmentation Y Xu, B Du, L Zhang, Q Zhang, G Wang, L Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5581-5588, 2019 | 74 | 2019 |
| Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Y Xu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 64 | 2022 |
| Learning from synthetic images via active pseudo-labeling L Song, Y Xu, L Zhang, B Du, Q Zhang, X Wang IEEE Transactions on Image Processing 29, 6452-6465, 2020 | 41 | 2020 |
| The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery O Ghorbanzadeh, Y Xu, H Zhao, J Wang, Y Zhong, D Zhao, Q Zang, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 39 | 2022 |
| Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing Y Xu, B Du, L Zhang IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 36 | 2018 |
| Robust Self-Ensembling Network for Hyperspectral Image Classification Y Xu, B Du, L Zhang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 29 | 2022 |
| AI Security for Geoscience and Remote Sensing: Challenges and future trends Y Xu, T Bai, W Yu, S Chang, PM Atkinson, P Ghamisi IEEE Geoscience and Remote Sensing Magazine 11 (2), 60-85, 2023 | 27 | 2023 |
| Consistency-regularized region-growing network for semantic segmentation of urban scenes with point-level annotations Y Xu, P Ghamisi IEEE Transactions on Image Processing 31, 5038-5051, 2022 | 26 | 2022 |
| Fine-grained classification of urban functional zones and landscape pattern analysis using hyperspectral satellite imagery: A case study of wuhan J Yuan, S Wang, C Wu, Y Xu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 22 | 2022 |
| Can We Generate Good Samples for Hyperspectral Classification?—A Generative Adversarial Network Based Method Y Xu, B Du, L Zhang IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 21 | 2018 |
| Txt2Img-MHN: Remote sensing image generation from text using modern Hopfield networks Y Xu, W Yu, P Ghamisi, M Kopp, S Hochreiter IEEE Transactions on Image Processing, 2023 | 20 | 2023 |
bo duSchool of Computer Science, Wuhan University在 whu.edu.cn 的电子邮件经过验证
