| 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, 2019 | 143 | 2019 |
| Local geometric structure feature for dimensionality reduction of hyperspectral imagery F Luo, H Huang, Y Duan, J Liu, Y Liao Remote Sensing 9 (8), 790, 2017 | 104 | 2017 |
| Dimensionality reduction with enhanced hybrid-graph discriminant learning for hyperspectral image classification F Luo, L Zhang, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5336-5353, 2020 | 54 | 2020 |
| Sparse-adaptive hypergraph discriminant analysis for hyperspectral image classification F Luo, L Zhang, X Zhou, T Guo, Y Cheng, T Yin IEEE Geoscience and Remote Sensing Letters 17 (6), 1082-1086, 2019 | 49 | 2019 |
| Dimensionality reduction of hyperspectral images based on sparse discriminant manifold embedding H Huang, F Luo, J Liu, Y Yang ISPRS Journal of Photogrammetry and Remote Sensing 106, 42-54, 2015 | 46 | 2015 |
| Semisupervised sparse manifold discriminative analysis for feature extraction of hyperspectral images F Luo, H Huang, Z Ma, J Liu IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6197-6211, 2016 | 33 | 2016 |
| Dimensionality reduction of hyperspectral imagery based on spatial–spectral manifold learning H Huang, G Shi, H He, Y Duan, F Luo IEEE transactions on cybernetics 50 (6), 2604-2616, 2019 | 27 | 2019 |
| Spatial-spectral cube matching frame for spectral CT reconstruction W Wu, Y Zhang, Q Wang, F Liu, F Luo, H Yu inverse problems 34 (10), 104003, 2018 | 19 | 2018 |
| Limited angle X ray CT reconstruction using image gradient ℓ0 norm with dictionary learning M Xu, D Hu, F Luo, F Liu, S Wang, W Wu IEEE Transactions on Radiation and Plasma Medical Sciences, 2020 | 15 | 2020 |
| Fusion of graph embedding and sparse representation for feature extraction and classification of hyperspectral imagery F Luo, H Huang, J Liu, Z Ma Photogrammetric Engineering & Remote Sensing 83 (1), 37-46, 2017 | 15 | 2017 |
| Feature extraction based multi-structure manifold embedding for hyperspectral remote sensing image classification Y Gan, F Luo, J Liu, B Lei, T Zhang, K Liu IEEE Access 5, 25069-25080, 2017 | 12 | 2017 |
| Spatial-spectral local discriminant projection for dimensionality reduction of hyperspectral image H Huang, Y Duan, H He, G Shi, F Luo ISPRS Journal of Photogrammetry and Remote Sensing 156, 77-93, 2019 | 9 | 2019 |
| Adaptive weighted total variation minimization based alternating direction method of multipliers for limited angle CT reconstruction F Luo, W Li, W Tu, W Wu IEEE Access 6, 64225-64236, 2018 | 8 | 2018 |
| A high-quality photon-counting CT technique based on weight adaptive total-variation and image-spectral tensor factorization for small animals imaging W Wu, D Hu, K An, S Wang, F Luo IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2020 | 7 | 2020 |
| Hyperspectral Image Compression Based on Simultaneous Sparse Representation and General-pixels C Fu, Y Yi, F Luo Pattern Recognition Letters, 2018 | 7 | 2018 |
| Sparse discriminant learning with ℓ1-graph for hyperspectral remote-sensing image classification H Huang, F Luo, Z Ma, Z Liu International Journal of Remote Sensing 36 (5), 1307-1328, 2015 | 7 | 2015 |
| 应用相关近邻局部线性嵌入算法的高光谱遥感影像分类 刘嘉敏， 罗甫林， 黄鸿， 刘亦哲 光学精密工程 22 (006), 1668-1676, 2014 | 7 | 2014 |
| Target detection in hyperspectral imagery via sparse and dense hybrid representation T Guo, F Luo, L Zhang, X Tan, J Liu, X Zhou IEEE Geoscience and Remote Sensing Letters 17 (4), 716-720, 2019 | 6 | 2019 |
| Local manifold sparse model for image classification F Luo, Y Huang, W Tu, J Liu Neurocomputing 382, 162-173, 2020 | 5 | 2020 |
| 基于 LLE 及其改进算法的人耳识别 刘嘉敏， 周晓莉， 朱晟君， 王会岩， 罗甫林 光电工程 39 (012), 132-137, 2012 | 5 | 2012 |
zhang liangpeiProfessor, Wuhan UniversityVerified email at whu.edu.cn
