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 | 255 | 2021 |
Cloud removal based on sparse representation via multitemporal dictionary learning M Xu, X Jia, M Pickering, AJ Plaza IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2998-3006, 2016 | 106 | 2016 |
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 | 91 | 2021 |
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 | 85 | 2019 |
Hyperspectral anomaly detection via deep plug-and-play denoising CNN regularization X Fu, S Jia, L Zhuang, M Xu, J Zhou, Q Li IEEE Transactions on Geoscience and Remote Sensing 59 (11), 9553-9568, 2021 | 75 | 2021 |
Automatic cloud removal for Landsat 8 OLI images using cirrus band M Xu, X Jia, M Pickering 2014 IEEE Geoscience and Remote Sensing Symposium, 2511-2514, 2014 | 71 | 2014 |
Thin cloud removal based on signal transmission principles and spectral mixture analysis M Xu, M Pickering, AJ Plaza, X Jia IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1659-1669, 2015 | 68 | 2015 |
Thin cloud removal from optical remote sensing images using the noise-adjusted principal components transform M Xu, X Jia, M Pickering, S Jia ISPRS Journal of Photogrammetry and Remote Sensing 149, 215-225, 2019 | 64 | 2019 |
A lightweight convolutional neural network for hyperspectral image classification S Jia, Z Lin, M Xu, Q Huang, J Zhou, X Jia, Q Li IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4150-4163, 2020 | 61 | 2020 |
Multiple feature-based superpixel-level decision fusion for hyperspectral and LiDAR data classification S Jia, Z Zhan, M Zhang, M Xu, Q Huang, J Zhou, X Jia IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1437-1452, 2020 | 57 | 2020 |
Multiattention generative adversarial network for remote sensing image super-resolution S Jia, Z Wang, Q Li, X Jia, M Xu IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 56 | 2022 |
Attention mechanism-based generative adversarial networks for cloud removal in Landsat images M Xu, F Deng, S Jia, X Jia, AJ Plaza Remote sensing of environment 271, 112902, 2022 | 42 | 2022 |
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, 2021 | 36 | 2021 |
Graph-in-graph convolutional network for hyperspectral image classification S Jia, S Jiang, S Zhang, M Xu, X Jia IEEE Transactions on Neural Networks and Learning Systems, 2022 | 35 | 2022 |
Superpixel-level weighted label propagation for hyperspectral image classification S Jia, X Deng, M Xu, J Zhou, X Jia IEEE Transactions on Geoscience and Remote Sensing 58 (7), 5077-5091, 2020 | 34 | 2020 |
Multiview spatial–spectral active learning for hyperspectral image classification M Xu, Q Zhao, S Jia IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 32 | 2021 |
3-D Gaussian–Gabor feature extraction and selection for hyperspectral imagery classification S Jia, J Zhuang, L Deng, J Zhu, M Xu, J Zhou, X Jia IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8813-8826, 2019 | 30 | 2019 |
Unsupervised spatial-spectral cnn-based feature learning for hyperspectral image classification S Zhang, M Xu, J Zhou, S Jia IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 29 | 2022 |
Flexible Gabor-based superpixel-level unsupervised LDA for hyperspectral image classification S Jia, Q Zhao, J Zhuang, D Tang, Y Long, M Xu, J Zhou, Q Li IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10394-10409, 2021 | 28 | 2021 |
Fusion of hyperspectral and multispectral images accounting for localized inter-image changes X Fu, S Jia, M Xu, J Zhou, Q Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021 | 22 | 2021 |