Noise robust face image super-resolution through smooth sparse representation J Jiang, J Ma, C Chen, X Jiang, Z Wang IEEE transactions on cybernetics 47 (11), 3991-4002, 2016 | 149 | 2016 |
Graph convolutional subspace clustering: A robust subspace clustering framework for hyperspectral image Y Cai, Z Zhang, Z Cai, X Liu, X Jiang, Q Yan IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4191-4202, 2020 | 117 | 2020 |
Spatial-aware collaborative representation for hyperspectral remote sensing image classification J Jiang, C Chen, Y Yu, X Jiang, J Ma IEEE Geoscience and Remote Sensing Letters 14 (3), 404-408, 2017 | 88 | 2017 |
Spectral–spatial and superpixelwise PCA for unsupervised feature extraction of hyperspectral imagery X Zhang, X Jiang, J Jiang, Y Zhang, X Liu, Z Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2021 | 84 | 2021 |
Robust dual graph self-representation for unsupervised hyperspectral band selection Y Zhang, X Wang, X Jiang, Y Zhou IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 73 | 2022 |
Spectral–spatial feature extraction with dual graph autoencoder for hyperspectral image clustering Y Zhang, Y Wang, X Chen, X Jiang, Y Zhou IEEE Transactions on Circuits and Systems for Video Technology 32 (12), 8500 …, 2022 | 54 | 2022 |
Hypergraph-structured autoencoder for unsupervised and semisupervised classification of hyperspectral image Y Cai, Z Zhang, Z Cai, X Liu, X Jiang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 39 | 2021 |
Supervised latent linear Gaussian process latent variable model for dimensionality reduction X Jiang, J Gao, T Wang, L Zheng IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 39 | 2012 |
Spectral-spatial hyperspectral image classification with superpixel pattern and extreme learning machine Y Zhang, X Jiang, X Wang, Z Cai Remote Sensing 11 (17), 1983, 2019 | 34 | 2019 |
Gaussian processes autoencoder for dimensionality reduction X Jiang, J Gao, X Hong, Z Cai Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 33 | 2014 |
Spectral-spatial feature extraction of hyperspectral images based on propagation filter Z Chen, J Jiang, X Jiang, X Fang, Z Cai Sensors 18 (6), 1978, 2018 | 29 | 2018 |
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery X Wang, Z Wang, Y Zhang, X Jiang, Z Cai Multimedia Tools and Applications, 1-15, 2022 | 22 | 2022 |
Densely connected deep extreme learning machine algorithm XW Jiang, TH Yan, JJ Zhu, B He, WH Li, HP Du, SS Sun Cognitive Computation 12, 979-990, 2020 | 21 | 2020 |
Laplacian regularized spatial-aware collaborative graph for discriminant analysis of hyperspectral imagery X Jiang, X Song, Y Zhang, J Jiang, J Gao, Z Cai Remote Sensing 11 (1), 29, 2018 | 21 | 2018 |
Supervised Gaussian process latent variable model for hyperspectral image classification X Jiang, X Fang, Z Chen, J Gao, J Jiang, Z Cai IEEE Geoscience and Remote Sensing Letters 14 (10), 1760-1764, 2017 | 21 | 2017 |
Unsupervised dimensionality reduction for hyperspectral imagery via laplacian regularized collaborative representation projection X Jiang, L Xiong, Q Yan, Y Zhang, X Liu, Z Cai IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 19 | 2022 |
TPSLVM: A dimensionality reduction algorithm based on thin plate splines X Jiang, J Gao, T Wang, D Shi IEEE Transactions on Cybernetics 44 (10), 1795-1807, 2014 | 18 | 2014 |
Spectral-spatial and superpixelwise unsupervised linear discriminant analysis for feature extraction and classification of hyperspectral images P Lu, X Jiang, Y Zhang, X Liu, Z Cai, J Jiang, A Plaza IEEE Transactions on Geoscience and Remote Sensing, 2023 | 13 | 2023 |
Sparse feature learning of hyperspectral imagery via multiobjective-based extreme learning machine X Fang, Y Cai, Z Cai, X Jiang, Z Chen Sensors 20 (5), 1262, 2020 | 13 | 2020 |
Trilateral smooth filtering for hyperspectral image feature extraction Z Chen, J Jiang, C Zhou, X Jiang, S Fu, C Zhihua IEEE Geoscience and Remote Sensing Letters 16 (5), 781-785, 2018 | 12 | 2018 |