Hyperspectral image reconstruction by deep convolutional neural network for classification Y Li, W Xie, H Li Pattern Recognition 63, 371-383, 2017 | 261 | 2017 |
SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery J Zhang, J Lei, W Xie, Z Fang, Y Li, Q Du IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 218 | 2023 |
Hyperspectral image super-resolution using deep convolutional neural network Y Li, J Hu, X Zhao, W Xie, JJ Li Neurocomputing 266, 29-41, 2017 | 196 | 2017 |
Breast mass classification in digital mammography based on extreme learning machine W Xie, Y Li, Y Ma Neurocomputing 173, 930-941, 2016 | 191 | 2016 |
Discriminative reconstruction constrained generative adversarial network for hyperspectral anomaly detection T Jiang, Y Li, W Xie, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4666-4679, 2020 | 178 | 2020 |
Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection W Xie, J Lei, B Liu, Y Li, X Jia Neural Networks 119, 222-234, 2019 | 117 | 2019 |
Structure tensor and guided filtering-based algorithm for hyperspectral anomaly detection W Xie, T Jiang, Y Li, X Jia, J Lei IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4218-4230, 2019 | 110 | 2019 |
Hyperspectral pansharpening with deep priors W Xie, J Lei, Y Cui, Y Li, Q Du IEEE transactions on neural networks and learning systems 31 (5), 1529-1543, 2019 | 106 | 2019 |
Autoencoder and adversarial-learning-based semisupervised background estimation for hyperspectral anomaly detection W Xie, B Liu, Y Li, J Lei, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5416-5427, 2020 | 93 | 2020 |
Semisupervised spectral learning with generative adversarial network for hyperspectral anomaly detection K Jiang, W Xie, Y Li, J Lei, G He, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (7), 5224-5236, 2020 | 84 | 2020 |
Hyperspectral image super-resolution using deep feature matrix factorization W Xie, X Jia, Y Li, J Lei IEEE Transactions on Geoscience and Remote Sensing 57 (8), 6055-6067, 2019 | 83 | 2019 |
Hyperspectral imagery denoising by deep learning with trainable nonlinearity function W Xie, Y Li IEEE Geoscience and Remote Sensing Letters 14 (11), 1963-1967, 2017 | 80 | 2017 |
Weakly supervised discriminative learning with spectral constrained generative adversarial network for hyperspectral anomaly detection T Jiang, W Xie, Y Li, J Lei, Q Du IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6504-6517, 2021 | 77 | 2021 |
Spectral–spatial feature extraction for hyperspectral anomaly detection J Lei, W Xie, J Yang, Y Li, CI Chang IEEE Transactions on Geoscience and Remote Sensing 57 (10), 8131-8143, 2019 | 75 | 2019 |
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 | 73 | 2021 |
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 | 70 | 2020 |
A multilevel encoder–decoder attention network for change detection in hyperspectral images J Qu, S Hou, W Dong, Y Li, W Xie IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 69 | 2021 |
Hyperspectral image super-resolution by spectral difference learning and spatial error correction J Hu, Y Li, W Xie IEEE Geoscience and Remote Sensing Letters 14 (10), 1825-1829, 2017 | 67 | 2017 |
Background learning based on target suppression constraint for hyperspectral target detection W Xie, X Zhang, Y Li, K Wang, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 66 | 2020 |
Characterization of background-anomaly separability with generative adversarial network for hyperspectral anomaly detection J Zhong, W Xie, Y Li, J Lei, Q Du IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6017-6028, 2020 | 60 | 2020 |