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Weiying Xie
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Cited by
Year
Hyperspectral image reconstruction by deep convolutional neural network for classification
Y Li, W Xie, H Li
Pattern Recognition 63, 371-383, 2017
2502017
Breast mass classification in digital mammography based on extreme learning machine
W Xie, Y Li, Y Ma
Neurocomputing 173, 930-941, 2016
1762016
Hyperspectral image super-resolution using deep convolutional neural network
Y Li, J Hu, X Zhao, W Xie, JJ Li
Neurocomputing 266, 29-41, 2017
1702017
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
1492020
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
1002019
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
942019
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
932019
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
822020
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
742017
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
692019
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
682019
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
662020
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
652023
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
632017
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
602021
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
562020
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
542021
Spectral adversarial feature learning for anomaly detection in hyperspectral imagery
W Xie, B Liu, Y Li, J Lei, CI Chang, G He
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2352-2365, 2019
522019
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
512020
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
512020
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