| Deep Convolutional Neural Networks for Hyperspectral Image Classification W Hu, Y Huang, W Li, F Zhang, H Li Journal of Sensors 2015, 2015 | 1937 | 2015 |
| Hyperspectral image classification using deep pixel-pair features W Li, G Wu, F Zhang, Q Du IEEE Transactions on Geoscience and Remote Sensing 55 (2), 844-853, 2017 | 827 | 2017 |
| Local binary patterns and extreme learning machine for hyperspectral imagery classification W Li, C Chen, H Su, Q Du IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3681-3693, 2015 | 735 | 2015 |
| Collaborative Representation for Hyperspectral Anomaly Detection W Li, Q Du IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1463-1474, 2015 | 658 | 2015 |
| Diverse Region-Based CNN for Hyperspectral Image Classification M Zhang, W Li, Q Du IEEE Transactions on Image Processing 27 (6), 2623-2634, 2018 | 589 | 2018 |
| Multisource remote sensing data classification based on convolutional neural network X Xu, W Li, Q Ran, Q Du, L Gao, B Zhang IEEE Transactions on Geoscience and Remote Sensing 56 (2), 937-949, 2018 | 575 | 2018 |
| Locality-preserving dimensionality reduction and classification for hyperspectral image analysis W Li, S Prasad, JE Fowler, LM Bruce IEEE Transactions on Geoscience and Remote Sensing 50 (4), 1185-1198, 2012 | 550 | 2012 |
| DeepUNet: a deep fully convolutional network for pixel-level sea-land segmentation R Li, W Liu, L Yang, S Sun, W Hu, F Zhang, W Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote
, 2018 | 392 | 2018 |
| Transferred deep learning for anomaly detection in hyperspectral imagery W Li, G Wu, Q Du IEEE Geoscience and Remote Sensing Letters 14 (5), 597-601, 2017 | 307 | 2017 |
| HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers J He, L Zhao, H Yang, M Zhang, W Li IEEE Transactions on Geoscience and Remote Sensing 58 (1), 165-178, 2019 | 291 | 2019 |
| Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine C Chen, W Li, H Su, K Liu Remote Sensing 6 (6), 5795-5814, 2014 | 262 | 2014 |
| Nearest regularized subspace for hyperspectral classification W Li, EW Tramel, S Prasad, JE Fowler IEEE Transactions on Geoscience and Remote Sensing 52 (1), 477-489, 2014 | 253 | 2014 |
| Feature extraction for classification of hyperspectral and LiDAR data using patch-to-patch CNN M Zhang, W Li, Q Du, L Gao, B Zhang IEEE Transactions on Cybernetics 50 (1), 100-111, 2020 | 250 | 2020 |
| Combined sparse and collaborative representation for hyperspectral target detection W Li, Q Du, B Zhang Pattern Recognition 48 (12), 3904-3916, 2015 | 246 | 2015 |
| Gabor-filtering-based nearest regularized subspace for hyperspectral image classification W Li, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote
, 2014 | 237 | 2014 |
| Deep learning for unmanned aerial vehicle-based object detection and tracking: a survey X Wu, W Li, D Hong, R Tao, Q Du IEEE Geoscience and Remote Sensing Magazine 10 (1), 91-124, 2021 | 227 | 2021 |
| ORSIm detector: A novel object detection framework in optical remote sensing imagery using spatial-frequency channel features X Wu, D Hong, J Tian, J Chanussot, W Li, R Tao IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5146-5158, 2019 | 227 | 2019 |
| Hyperspectral anomaly detection by fractional Fourier entropy R Tao, X Zhao, W Li, HC Li, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote
, 2019 | 212 | 2019 |
| Data augmentation for hyperspectral image classification with deep CNN W Li, C Chen, M Zhang, H Li, Q Du IEEE Geoscience and Remote Sensing Letters 16 (4), 593-597, 2018 | 210 | 2018 |
| Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification Y Zhang, W Li, M Zhang, Y Qu, R Tao, H Qi IEEE Transactions on Neural Networks and Learning Systems, 2022 | 195 | 2022 |
Qian (Jenny) DuMississippi State UniversityPatvirtintas el. paštas ece.msstate.edu
