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Jiaojiao Li
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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
1312020
Hyperspectral image super-resolution using deep convolutional neural network
Y Li, J Hu, X Zhao, W Xie, JJ Li
Neurocomputing 266, 29-41, 2017
1222017
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
1102018
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
732018
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
482020
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
452020
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
452018
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
412020
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
332020
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
282018
Optimizing extreme learning machine for hyperspectral image classification
J Li, Q Du, W Li, Y Li
Journal of Applied Remote Sensing 9 (1), 097296, 2015
282015
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
262021
An efficient radial basis function neural network for hyperspectral remote sensing image classification
J Li, Q Du, Y Li
Soft Computing 20 (12), 4753-4759, 2016
262016
Local spectral similarity preserving regularized robust sparse hyperspectral unmixing
J Li, Y Li, R Song, S Mei, Q Du
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7756-7769, 2019
232019
Deep fully convolutional regression networks for single image haze removal
X Zhao, K Wang, Y Li, J Li
2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017
222017
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
202019
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
182020
Multiscale context-aware ensemble deep KELM for efficient hyperspectral image classification
B Xi, J Li, Y Li, R Song, W Sun, Q Du
IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5114-5130, 2020
172020
Hyperspectral image super-resolution with 1D–2D attentional convolutional neural network
J Li, R Cui, B Li, R Song, Y Li, Q Du
Remote Sensing 11 (23), 2859, 2019
172019
Class feature weighted hyperspectral image classification
S Zhong, CI Chang, J Li, X Shang, S Chen, M Song, Y Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
162019
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Articles 1–20