| 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 | 154 | 2019 |
| Multilayer feature fusion network for scene classification in remote sensing K Xu, H Huang, Y Li, G Shi IEEE Geoscience and Remote Sensing Letters 17 (11), 1894-1898, 2020 | 104 | 2020 |
| Unsupervised dimensionality reduction for hyperspectral imagery via local geometric structure feature learning G Shi, H Huang, L Wang IEEE Geoscience and Remote Sensing Letters 17 (8), 1425-1429, 2019 | 79 | 2019 |
| Two-stream feature aggregation deep neural network for scene classification of remote sensing images K Xu, H Huang, P Deng, G Shi Information Sciences 539, 250-268, 2020 | 54 | 2020 |
| Manifold-based multi-deep belief network for feature extraction of hyperspectral image Z Li, H Huang, Z Zhang, G Shi Remote Sensing 14 (6), 1484, 2022 | 30 | 2022 |
| Dimensionality reduction of hyperspectral image based on local constrained manifold structure collaborative preserving embedding G Shi, F Luo, Y Tang, Y Li Remote sensing 13 (7), 1363, 2021 | 30 | 2021 |
| Local linear spatial–spectral probabilistic distribution for hyperspectral image classification H Huang, Y Duan, H He, G Shi IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1259-1272, 2019 | 20 | 2019 |
| 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 | 19 | 2019 |
| DLPNet: A deep manifold network for feature extraction of hyperspectral imagery Z Li, H Huang, Y Duan, G Shi Neural Networks 129, 7-18, 2020 | 17 | 2020 |
| Spatial-spectral multiple manifold discriminant analysis for dimensionality reduction of hyperspectral imagery G Shi, H Huang, J Liu, Z Li, L Wang Remote Sensing 11 (20), 2414, 2019 | 14 | 2019 |
| Fusion of weighted mean reconstruction and SVMCK for hyperspectral image classification H Huang, Y Duan, G Shi, Z Lv IEEE Access 6, 15224-15235, 2018 | 11 | 2018 |
| Multi-manifold locality graph preserving analysis for hyperspectral image classification G Shi, H Huang, Z Li, Y Duan Neurocomputing 388, 45-59, 2020 | 10 | 2020 |
| 基于深度学习的高光谱图像空-谱联合特征提取 黄鸿， 何凯， 郑新磊， 石光耀 Laser & Optoelectronics Progress 54 (10), 101001--1, 2017 | 10 | 2017 |
| Scene classification of high-resolution remote sensing image by multi-scale and multi-feature fusion H Huang, KJ Xu, GY Shi Acta Electronica Sinica 48 (9), 1824-1833, 2020 | 7 | 2020 |
| A deep feature manifold embedding method for hyperspectral image classification J Liu, S Yang, H Huang, Z Li, G Shi Remote Sensing Letters 11 (7), 620-629, 2020 | 5 | 2020 |
| 加权空-谱联合保持嵌入的高光谱遥感影像降维方法 黄鸿， 石光耀， 段宇乐， 张丽梅 测绘学报, 2019 | 5 | 2019 |
| Dimensionality reduction method for hyperspectral images based on weighted spatial-spectral combined preserving embedding H Hong, SHI Guangyao, D Yule, Z Limei Acta Geodaetica et Cartographica Sinica 48 (8), 1014, 2019 | 5 | 2019 |
| 联合稀疏特性和邻域相似度量的高光谱图像分类 刘嘉敏， 张丽梅， 石光耀， 黄鸿 光子学报 47 (6), 0610001, 2018 | 5 | 2018 |
| 基于分水岭及半监督最小误差重构的荧光微球分割及分类方法 黄鸿， 金莹莹， 李政英， 段宇乐， 石光耀 Chinese Journal of Lasers 45 (3), 307013--1, 2018 | 5 | 2018 |
| TCDM: effective large-factor image super-resolution via texture consistency diffusion Y Zhang, H Liu, Z Li, X Gao, G Shi, J Jiang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 4 | 2024 |
