| Convolutional neural networks for hyperspectral image classification S Yu, S Jia, C Xu Neurocomputing 219, 88-98, 2017 | 660 | 2017 |
| Hyperspectral Unmixing viaSparsity-Constrained Nonnegative Matrix Factorization Y Qian, S Jia, J Zhou, A Robles-Kelly IEEE Transactions on Geoscience and Remote Sensing 49 (11), 4282-4297, 2011 | 586 | 2011 |
| Constrained nonnegative matrix factorization for hyperspectral unmixing S Jia, Y Qian IEEE Transactions on Geoscience and Remote Sensing 47 (1), 161-173, 2008 | 453 | 2008 |
| A novel ranking-based clustering approach for hyperspectral band selection S Jia, G Tang, J Zhu, Q Li IEEE Transactions on Geoscience and Remote Sensing 54 (1), 88-102, 2015 | 347 | 2015 |
| A survey: Deep learning for hyperspectral image classification with few labeled samples S Jia, S Jiang, Z Lin, N Li, M Xu, S Yu Neurocomputing 448, 179-204, 2021 | 294 | 2021 |
| Three-dimensional Gabor wavelets for pixel-based hyperspectral imagery classification L Shen, S Jia IEEE Transactions on Geoscience and Remote Sensing 49 (12), 5039-5046, 2011 | 240 | 2011 |
| Band selection for hyperspectral imagery using affinity propagation Y Qian, F Yao, S Jia IET Computer Vision 3 (4), 213-222, 2009 | 230 | 2009 |
| Unsupervised band selection for hyperspectral imagery classification without manual band removal S Jia, Z Ji, Y Qian, L Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 184 | 2012 |
| Spectral and spatial complexity-based hyperspectral unmixing S Jia, Y Qian IEEE Transactions on Geoscience and Remote Sensing 45 (12), 3867-3879, 2007 | 159 | 2007 |
| Gabor feature-based collaborative representation for hyperspectral imagery classification S Jia, L Shen, Q Li IEEE Transactions on Geoscience and Remote Sensing 53 (2), 1118-1129, 2014 | 155 | 2014 |
| Urban traffic density estimation based on ultrahigh-resolution UAV video and deep neural network J Zhu, K Sun, S Jia, Q Li, X Hou, W Lin, B Liu, G Qiu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 118 | 2018 |
| Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework Z Zhu, S Jia, S He, Y Sun, Z Ji, L Shen Information Sciences 298, 274-287, 2015 | 118 | 2015 |
| A semisupervised Siamese network for hyperspectral image classification S Jia, S Jiang, Z Lin, M Xu, W Sun, Q Huang, J Zhu, X Jia IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 113 | 2021 |
| Deep metric learning-based feature embedding for hyperspectral image classification B Deng, S Jia, D Shi IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1422-1435, 2019 | 108 | 2019 |
| A 3-D Gabor phase-based coding and matching framework for hyperspectral imagery classification S Jia, L Shen, J Zhu, Q Li IEEE transactions on cybernetics 48 (4), 1176-1188, 2017 | 106 | 2017 |
| 3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification S Jia, J Liao, M Xu, Y Li, J Zhu, W Sun, X Jia, Q Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 100* | 2022 |
| Three-dimensional local binary patterns for hyperspectral imagery classification S Jia, J Hu, J Zhu, X Jia, Q Li IEEE Transactions on Geoscience and Remote Sensing 55 (4), 2399-2413, 2017 | 96 | 2017 |
| Towards a memetic feature selection paradigm [application notes] Z Zhu, S Jia, Z Ji IEEE Computational Intelligence Magazine 5 (2), 41-53, 2010 | 95 | 2010 |
| Spectral–Spatial Hyperspectral Image Classification Using Regularized Low-Rank Representation and Sparse Representation-Based Graph Cuts S Jia, X Zhang, Q Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 91 | 2015 |
| Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification S Jia, X Deng, J Zhu, M Xu, J Zhou, X Jia IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7770-7784, 2019 | 88 | 2019 |
Yuntao QianProfessor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
