| Local Manifold Learning-Based-Nearest-Neighbor for Hyperspectral Image Classification L Ma, MM Crawford, J Tian IEEE Transactions on Geoscience and Remote Sensing 48 (11), 4099-4109, 2010 | 531 | 2010 |
| Stacked denoise autoencoder based feature extraction and classification for hyperspectral images C Xing, L Ma, X Yang Journal of Sensors 2016, 2016 | 244 | 2016 |
| Local-manifold-learning-based graph construction for semisupervised hyperspectral image classification L Ma, MM Crawford, X Yang, Y Guo IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2832-2844, 2014 | 124 | 2014 |
| Anomaly detection for hyperspectral images based on robust locally linear embedding L Ma, MM Crawford, J Tian Journal of Infrared, Millimeter, and Terahertz Waves 31, 753-762, 2010 | 95 | 2010 |
| Discriminative transfer joint matching for domain adaptation in hyperspectral image classification J Peng, W Sun, L Ma, Q Du IEEE Geoscience and Remote Sensing Letters 16 (6), 972-976, 2019 | 80 | 2019 |
| Exploring nonlinear manifold learning for classification of hyperspectral data MM Crawford, L Ma, W Kim Optical Remote Sensing: Advances in signal processing and exploitation …, 2011 | 79 | 2011 |
| Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification L Ma, A Ma, C Ju, X Li pattern recognition letters 83, 133-142, 2016 | 71 | 2016 |
| Centroid and covariance alignment-based domain adaptation for unsupervised classification of remote sensing images L Ma, MM Crawford, L Zhu, Y Liu IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2305-2323, 2018 | 68 | 2018 |
| Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification Y Shao, N Sang, C Gao, L Ma Pattern Recognition 81, 81-94, 2018 | 64 | 2018 |
| Class-wise distribution adaptation for unsupervised classification of hyperspectral remote sensing images Z Liu, L Ma, Q Du IEEE Transactions on Geoscience and Remote Sensing 59 (1), 508-521, 2020 | 53 | 2020 |
| Non-rigid point set registration via coherent spatial mapping J Chen, J Ma, C Yang, L Ma, S Zheng Signal Processing 106, 62-72, 2015 | 47 | 2015 |
| Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification Y Shao, N Sang, C Gao, L Ma Pattern recognition 63, 102-114, 2017 | 44 | 2017 |
| Generalised supervised local tangent space alignment for hyperspectral image classification L Ma, MM Crawford, JW Tian Electronics Letters 46 (7), 1, 2010 | 41 | 2010 |
| Class centroid alignment based domain adaptation for classification of remote sensing images L Zhu, L Ma Pattern Recognition Letters 83, 124-132, 2016 | 39 | 2016 |
| Manifold regularized distribution adaptation for classification of remote sensing images C Luo, L Ma IEEE Access 6, 4697-4708, 2018 | 28 | 2018 |
| Confident learning-based domain adaptation for hyperspectral image classification Z Fang, Y Yang, Z Li, W Li, Y Chen, L Ma, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 26 | 2022 |
| Joint correlation alignment-based graph neural network for domain adaptation of multitemporal hyperspectral remote sensing images W Wang, L Ma, M Chen, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 26 | 2021 |
| Anomaly detection for hyperspectral images using local tangent space alignment L Ma, MM Crawford, J Tian 2010 IEEE International Geoscience and Remote Sensing Symposium, 824-827, 2010 | 26 | 2010 |
| Spatial regularized local manifold learning for classification of hyperspectral images L Ma, X Zhang, X Yu, D Luo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 22 | 2015 |
| Class-wise fully convolutional network for semantic segmentation of remote sensing images T Tian, Z Chu, Q Hu, L Ma Remote Sensing 13 (16), 3211, 2021 | 21 | 2021 |
Jinwen Tian (田金文)Professor, School of Automation, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
