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 | 149 | 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 | 103 | 2018 |
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, 2022 | 55 | 2022 |
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 | 51 | 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 | 49 | 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 | 42 | 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 | 39 | 2018 |
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 | 35 | 2020 |
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 | 31 | 2021 |
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 | 31 | 2019 |
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 | 25 | 2020 |
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 | 18 | 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 | 14 | 2021 |
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 | 12 | 2022 |
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 | 9 | 2021 |
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 | 9 | 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 | 8 | 2018 |
Diverse-region hyperspectral image classification via superpixelwise graph convolution technique Y Huang, X Zhou, B Xi, J Li, J Kang, S Tang, Z Chen, W Hong Remote Sensing 14 (12), 2907, 2022 | 4 | 2022 |
Small Object Aware Video Coding for Machines via Feature-Motion Synergy Q Xu, B Xi, H Xu, Y Huang, Y Li, J Chanussot IEEE Geoscience and Remote Sensing Letters, 2023 | | 2023 |
Hybrid Spectral-Spatial Convolutional Network and Transformer with Mixup Regularization for Hyperspectral Image Classification B Qin, C Zhao, S Feng, M Chen, H Zhang, B Xi 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2023 | | 2023 |