| Ntire 2020 challenge on spectral reconstruction from an rgb image B Arad, R Timofte, O Ben-Shahar, YT Lin, GD Finlayson Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 259 | 2020 |
| Hyperspectral image super-resolution using deep convolutional neural network Y Li, J Hu, X Zhao, W Xie, JJ Li Neurocomputing 266, 29-41, 2017 | 192 | 2017 |
| Classification of hyperspectral imagery using a new fully convolutional neural network J Li, X Zhao, Y Li, Q Du, B Xi, J Hu IEEE Geoscience and Remote Sensing Letters 15 (2), 292-296, 2018 | 169 | 2018 |
| Adaptive weighted attention network with camera spectral sensitivity prior for spectral reconstruction from RGB images J Li, C Wu, R Song, Y Li, F Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 151 | 2020 |
| Ntire 2022 spectral recovery challenge and data set B Arad, R Timofte, R Yahel, N Morag, A Bernat, Y Cai, J Lin, Z Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 120 | 2022 |
| Hyperspectral pansharpening using deep prior and dual attention residual network Y Zheng, J Li, Y Li, J Guo, X Wu, J Chanussot IEEE transactions on geoscience and remote sensing 58 (11), 8059-8076, 2020 | 118 | 2020 |
| Hyperspectral classification based on texture feature enhancement and deep belief networks J Li, B Xi, Y Li, Q Du, K Wang Remote Sensing 10 (3), 396, 2018 | 105 | 2018 |
| Hyperspectral image super-resolution by band attention through adversarial learning J Li, R Cui, B Li, R Song, Y Li, Y Dai, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4304-4318, 2020 | 90 | 2020 |
| Few-shot learning with class-covariance metric for hyperspectral image classification B Xi, J Li, Y Li, R Song, D Hong, J Chanussot IEEE Transactions on Image Processing 31, 5079-5092, 2022 | 87 | 2022 |
| Weakly supervised low-rank representation for hyperspectral anomaly detection W Xie, X Zhang, Y Li, J Lei, J Li, Q Du IEEE Transactions on Cybernetics 51 (8), 3889-3900, 2021 | 72 | 2021 |
| Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification B Xi, J Li, Y Li, R Song, Y Xiao, Q Du, J Chanussot IEEE Transactions on Neural Networks and Learning Systems, 2022 | 70 | 2022 |
| Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery Y Li, Y Shi, K Wang, B Xi, J Li, P Gamba IEEE Transactions on Image Processing, 1418 - 1432, 2022 | 70 | 2022 |
| HPGAN: Hyperspectral pansharpening using 3-D generative adversarial networks W Xie, Y Cui, Y Li, J Lei, Q Du, J Li IEEE Transactions on Geoscience and Remote Sensing 59 (1), 463-477, 2020 | 68 | 2020 |
| Hyperspectral image classification with imbalanced data based on orthogonal complement subspace projection J Li, Q Du, Y Li, W Li IEEE Transactions on Geoscience and Remote Sensing 56 (7), 3838-3851, 2018 | 62 | 2018 |
| Hyperspectral target detection with RoI feature transformation and multiscale spectral attention Y Shi, J Li, Y Zheng, B Xi, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5071-5084, 2020 | 46 | 2020 |
| Hybrid 2-D–3-D deep residual attentional network with structure tensor constraints for spectral super-resolution of RGB images J Li, C Wu, R Song, W Xie, C Ge, B Li, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2321-2335, 2020 | 44 | 2020 |
| Deep prototypical networks with hybrid residual attention for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Shi, S Liu, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 44 | 2020 |
| A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery J Li, S Zi, R Song, Y Li, Y Hu, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 2022 | 41 | 2022 |
| Deep kernel extreme-learning machine for the spectral–spatial classification of hyperspectral imagery J Li, B Xi, Q Du, R Song, Y Li, G Ren Remote Sensing 10 (12), 2036, 2018 | 41 | 2018 |
| Deep residual learning for boosting the accuracy of hyperspectral pansharpening Y Zheng, J Li, Y Li, K Cao, K Wang IEEE Geoscience and Remote Sensing Letters 17 (8), 1435-1439, 2019 | 39 | 2019 |
Qian (Jenny) DuMississippi State UniversityVerified email at ece.msstate.edu
