Deep fully convolutional network-based spatial distribution prediction for hyperspectral image classification L Jiao, M Liang, H Chen, S Yang, H Liu, X Cao IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5585-5599, 2017 | 218 | 2017 |
Superpixel-based multiple local CNN for panchromatic and multispectral image classification W Zhao, L Jiao, W Ma, J Zhao, J Zhao, H Liu, X Cao, S Yang IEEE Transactions on Geoscience and Remote Sensing 55 (7), 4141-4156, 2017 | 137 | 2017 |
Classification of hyperspectral images based on multiclass spatial–spectral generative adversarial networks J Feng, H Yu, L Wang, X Cao, X Zhang, L Jiao IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5329-5343, 2019 | 131 | 2019 |
Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification J Feng, X Feng, J Chen, X Cao, X Zhang, L Jiao, T Yu Remote Sensing 12 (7), 1149, 2020 | 111 | 2020 |
Supervised band selection using local spatial information for hyperspectral image X Cao, T Xiong, L Jiao IEEE Geoscience and Remote Sensing Letters 13 (3), 329-333, 2016 | 105 | 2016 |
Hyperspectral imagery classification based on contrastive learning S Hou, H Shi, X Cao, X Zhang, L Jiao IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 94 | 2021 |
CNN-based multilayer spatial–spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification J Feng, J Chen, L Liu, X Cao, X Zhang, L Jiao, T Yu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 89 | 2019 |
Deep reinforcement learning for semisupervised hyperspectral band selection J Feng, D Li, J Gu, X Cao, R Shang, X Zhang, L Jiao IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2021 | 66 | 2021 |
Convolutional neural network based on bandwise-independent convolution and hard thresholding for hyperspectral band selection J Feng, J Chen, Q Sun, R Shang, X Cao, X Zhang, L Jiao IEEE Transactions on Cybernetics 51 (9), 4414-4428, 2020 | 60 | 2020 |
Hyperspectral band selection using improved classification map X Cao, C Wei, J Han, L Jiao IEEE geoscience and remote sensing letters 14 (11), 2147-2151, 2017 | 54 | 2017 |
Automatic band selection using spatial-structure information and classifier-based clustering X Cao, B Wu, D Tao, L Jiao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 44 | 2016 |
Hyperspectral imagery classification with deep metric learning X Cao, Y Ge, R Li, J Zhao, L Jiao Neurocomputing 356, 217-227, 2019 | 42 | 2019 |
Signal modulation classification based on the transformer network J Cai, F Gan, X Cao, W Liu IEEE Transactions on Cognitive Communications and Networking 8 (3), 1348-1357, 2022 | 40 | 2022 |
Densely connected deep random forest for hyperspectral imagery classification X Cao, R Li, Y Ge, B Wu, L Jiao International journal of remote sensing 40 (9), 3606-3622, 2019 | 40 | 2019 |
Semi-supervised hyperspectral band selection based on dynamic classifier selection X Cao, C Wei, Y Ge, J Feng, J Zhao, L Jiao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 36 | 2019 |
SAR image change detection based on deep denoising and CNN X Cao, Y Ji, L Wang, B Ji, L Jiao, J Han IET Image Processing 13 (9), 1509-1515, 2019 | 35 | 2019 |
Rotation-based deep forest for hyperspectral imagery classification X Cao, L Wen, Y Ge, J Zhao, L Jiao IEEE Geoscience and Remote Sensing Letters 16 (7), 1105-1109, 2019 | 33 | 2019 |
Marginal stacked autoencoder with adaptively-spatial regularization for hyperspectral image classification J Feng, L Liu, X Cao, L Jiao, T Sun, X Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 29 | 2018 |
Deep Multiple Feature Fusion for Hyperspectral Image Classification X Cao, R Li, L Wen, J Feng, L Jiao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 29 | 2018 |
Band selection and evaluation with spatial information X Cao, J Han, S Yang, D Tao, L Jiao International journal of remote sensing 37 (19), 4501-4520, 2016 | 26 | 2016 |