| Classification of hyperspectral imagery using a new fully convolutional neural network J Li, X Zhao, Y Li, Q Du, B Xi, J Hu IEEE Geoscience and Remote Sensing Letters 15 (2), 292-296, 2018 | 175 | 2018 |
| Hyperspectral classification based on texture feature enhancement and deep belief networks J Li, B Xi, Y Li, Q Du, K Wang Remote Sensing 10 (3), 396, 2018 | 105 | 2018 |
| Few-shot learning with class-covariance metric for hyperspectral image classification B Xi, J Li, Y Li, R Song, D Hong, J Chanussot IEEE Transactions on Image Processing 31, 5079-5092, 2022 | 101 | 2022 |
| Semisupervised cross-scale graph prototypical network for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Xiao, Q Du, J Chanussot IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9337-9351, 2022 | 77 | 2022 |
| Target detection with unconstrained linear mixture model and hierarchical denoising autoencoder in hyperspectral imagery Y Li, Y Shi, K Wang, B Xi, J Li, P Gamba IEEE Transactions on Image Processing 31, 1418-1432, 2022 | 70 | 2022 |
| Hyperspectral target detection with RoI feature transformation and multiscale spectral attention Y Shi, J Li, Y Zheng, B Xi, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5071-5084, 2020 | 47 | 2020 |
| Deep prototypical networks with hybrid residual attention for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Shi, S Liu, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 47 | 2020 |
| Deep kernel extreme-learning machine for the spectral–spatial classification of hyperspectral imagery J Li, B Xi, Q Du, R Song, Y Li, G Ren Remote Sensing 10 (12), 2036, 2018 | 41 | 2018 |
| Multiscale context-aware ensemble deep KELM for efficient hyperspectral image classification B Xi, J Li, Y Li, R Song, W Sun, Q Du IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5114-5130, 2020 | 34 | 2020 |
| Hyperspectral target detection with macro-micro feature extracted by 3-D residual autoencoder Y Shi, J Li, Y Yin, B Xi, Y Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 34 | 2019 |
| Multi-direction networks with attentional spectral prior for hyperspectral image classification B Xi, J Li, Y Li, R Song, Y Xiao, Y Shi, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 33 | 2021 |
| A triplet semisupervised deep network for fusion classification of hyperspectral and LiDAR data J Li, Y Ma, R Song, B Xi, D Hong, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 31 | 2022 |
| Dgssc: A deep generative spectral-spatial classifier for imbalanced hyperspectral imagery B Xi, J Li, Y Diao, Y Li, Z Li, Y Huang, J Chanussot IEEE Transactions on Circuits and Systems for Video Technology 33 (4), 1535-1548, 2022 | 27 | 2022 |
| Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification B Xi, J Li, Y Li, Q Du 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2851 …, 2021 | 15 | 2021 |
| SGML: A symmetric graph metric learning framework for efficient hyperspectral image classification Y Li, B Xi, J Li, R Song, Y Xiao, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 14 | 2021 |
| Mind the gap: Multi-level unsupervised domain adaptation for cross-scene hyperspectral image classification M Cai, B Xi, J Li, S Feng, Y Li, Z Li, J Chanussot IEEE Transactions on Geoscience and Remote Sensing, 2024 | 13 | 2024 |
| Hyperspectral pansharpening based on homomorphic filtering and weighted tensor matrix J Qu, Y Li, Q Du, W Dong, B Xi Remote Sensing 11 (9), 1005, 2019 | 12 | 2019 |
| Hyperspectral image classification via sample expansion for convolutional neural network J Li, Q Du, B Xi, Y Li 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018 | 11 | 2018 |
| FDGNet: Frequency disentanglement and data geometry for domain generalization in cross-scene hyperspectral image classification B Qin, S Feng, C Zhao, B Xi, W Li, R Tao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 10 | 2024 |
| CTF-SSCL: CNN-transformer for few-shot hyperspectral image classification assisted by semisupervised contrastive learning B Xi, Y Zhang, J Li, Y Li, Z Li, J Chanussot IEEE Transactions on Geoscience and Remote Sensing, 2024 | 9 | 2024 |
Jiaojiao Lixidian universityПотвърден имейл адрес: xidian.edu.cn