| Spectral-spatial attention networks for hyperspectral image classification X Mei, E Pan, Y Ma, X Dai, J Huang, F Fan, Q Du, H Zheng, J Ma Remote Sensing 11 (8), 963, 2019 | 233 | 2019 |
| Locality-constrained sparse representation for hyperspectral image classification Y Zhang, Y Ma, X Dai, H Li, X Mei, J Ma Information Sciences 546, 858-870, 2021 | 33 | 2021 |
| A novel image-guided FT-IR sensor using chalcogenide glass optical fibers for the detection of combustion gases X Dai, X Liu, L Liu, B Zhu, Z Fang Sensors and Actuators B: Chemical 220, 414-419, 2015 | 30 | 2015 |
| Hyperspectral unmixing with Gaussian mixture model and low-rank representation Y Ma, Q Jin, X Mei, X Dai, F Fan, H Li, J Huang Remote Sensing 11 (8), 911, 2019 | 22 | 2019 |
| Influence of aero-optical transmission on infrared imaging optical system in the supersonic flight L Liu, W Meng, Y Li, X Dai, Z Zuo Infrared Physics & Technology 68, 110-118, 2015 | 21 | 2015 |
| Spectral-spatial classification of hyperspectral image based on a joint attention network E Pan, Y Ma, X Mei, X Dai, F Fan, X Tian, J Ma Igarss 2019-2019 IEEE international geoscience and remote sensing symposium …, 2019 | 18 | 2019 |
| Correction of aeroheating-induced intensity nonuniformity in infrared images L Liu, L Yan, H Zhao, X Dai, T Zhang Infrared Physics & Technology 76, 235-241, 2016 | 18 | 2016 |
| Visible/infrared combined 3D reconstruction scheme based on nonrigid registration of multi-modality images with mixed features Y Ma, Y Wang, X Mei, C Liu, X Dai, F Fan, J Huang IEEE Access 7, 19199-19211, 2019 | 17 | 2019 |
| Multifeature-based discriminative label consistent K-SVD for hyperspectral image classification Y Ma, Y Zhang, X Mei, X Dai, J Ma IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 12 | 2019 |
| Gaussian mixture model for hyperspectral unmixing with low-rank representation Q Jin, Y Ma, X Mei, X Dai, H Li, F Fan, J Huang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 12 | 2019 |
| An infrared scanning and tracking system for detecting mid-wave infrared spectral characteristics of moving targets X Liu, Z Fang, X Dai, X He, P Gao Applied Spectroscopy 68 (11), 1289-1295, 2014 | 12 | 2014 |
| Analysis and modeling of aerothermal radiation based on experimental data L Liu, W Meng, Y Li, Z Zuo, X Dai Infrared Physics & Technology 62, 18-28, 2014 | 9 | 2014 |
| Joint principal component analysis and total variation for infrared and visible image fusion X Zhang, X Dai, X Zhang, G Jin Infrared Physics & Technology 128, 104523, 2023 | 8 | 2023 |
| Feature extraction and microstructural classification of hot stamping ultra-high strength steel by machine learning B Zhu, Z Chen, F Hu, X Dai, L Wang, Y Zhang JOM 74 (9), 3466-3477, 2022 | 8 | 2022 |
| A new patch-based two-scale decomposition for infrared and visible image fusion M Wu, Y Ma, J Huang, F Fan, X Dai Infrared Physics & Technology 110, 103362, 2020 | 8 | 2020 |
| GRU with spatial prior for hyperspectral image classification E Pan, Y Ma, X Dai, F Fan, J Huang, X Mei, J Ma IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium …, 2019 | 8 | 2019 |
| Infrared image-spectrum associated intelligent detection method and apparatus T Zhang, LIU Xiangyan, DAI Xiaobing, L Liu, H Yu US Patent 9,759,835, 2017 | 4 | 2017 |
| Co-aperture broadband infrared optical system H Zhang, FEI Jindong, T Zhang, DAI Xiaobing, X Liu, L Liu US Patent 9,651,763, 2017 | 4 | 2017 |
| Development and testing of an image-guided FT-IR instrument for field spectroscopy X Dai, X Liu, L Liu Imaging Spectrometry XX 9611, 263-270, 2015 | 3 | 2015 |
| Improved generalized IHS based on total variation for pansharpening X Zhang, X Dai, X Zhang, Y Hu, Y Kang, G Jin Remote Sensing 15 (11), 2945, 2023 | 2 | 2023 |
Xiaoguang MeiWuhan University在 whu.edu.cn 的电子邮件经过验证
