[go: up one dir, main page]

Follow
Bing Tu(涂兵)
Title
Cited by
Cited by
Year
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification
Y He, B Tu, P Jiang, B Liu, J Li, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 62, 5538817, 2024
2882024
Moving object detection method via ResNet-18 with encoder–decoder structure in complex scenes
X Ou, P Yan, Y Zhang, B Tu, G Zhang, J Wu, W Li
IEEE Access 7, 108152-108160, 2019
1562019
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Y He, B Tu, B Liu, J Li, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 62, 5534216, 2024
1322024
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Y He, B Tu, B Liu, J Li, A Plaza
arXiv preprint arXiv:2405.12487, 2024
1322024
NCGLF2: Network combining global and local features for fusion of multisource remote sensing data
B Tu, Q Ren, J Li, Z Cao, Y Chen, A Plaza
Information Fusion 104, 102192, 2024
1232024
KNN-based representation of superpixels for hyperspectral image classification
B Tu, J Wang, X Kang, G Zhang, X Ou, L Guo
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
1142018
Local semantic feature aggregation-based transformer for hyperspectral image classification
B Tu, X Liao, Q Li, Y Peng, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
1112022
Spatial–spectral transformer with cross-attention for hyperspectral image classification
Y Peng, Y Zhang, B Tu, Q Li, W Li
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
972022
Hyperspectral image classification via fusing correlation coefficient and joint sparse representation
B Tu, X Zhang, X Kang, G Zhang, J Wang, J Wu
IEEE Geoscience and Remote Sensing Letters 15 (3), 340-344, 2018
972018
Hyperspectral classification with noisy label detection via superpixel-to-pixel weighting distance
B Tu, C Zhou, D He, S Huang, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4116-4131, 2020
962020
Spatial density peak clustering for hyperspectral image classification with noisy labels
B Tu, X Zhang, X Kang, J Wang, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5085-5097, 2019
962019
Density peak-based noisy label detection for hyperspectral image classification
B Tu, X Zhang, X Kang, G Zhang, S Li
IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1573-1584, 2018
912018
A CNN framework with slow-fast band selection and feature fusion grouping for hyperspectral image change detection
X Ou, L Liu, B Tu, G Zhang, Z Xu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022
882022
Hyperspectral anomaly detection via density peak clustering
B Tu, X Yang, N Li, C Zhou, D He
Pattern Recognition Letters 129, 144-149, 2020
852020
Hyperspectral anomaly detection using reconstruction fusion of quaternion frequency domain analysis
B Tu, X Yang, W He, J Li, A Plaza
IEEE Transactions on Neural Networks and Learning Systems 35 (6), 8358-8372, 2023
752023
Anomaly detection in hyperspectral images using adaptive graph frequency location
B Tu, X Yang, B He, Y Chen, J Li, A Plaza
IEEE Transactions on Neural Networks and Learning Systems 36 (7), 12565-12579, 2024
672024
Spectral–spatial hyperspectral classification via structural-kernel collaborative representation
B Tu, C Zhou, X Liao, G Zhang, Y Peng
IEEE Geoscience and Remote Sensing Letters 18 (5), 861-865, 2020
602020
Cuckoo search algorithm with fuzzy logic and Gauss–Cauchy for minimizing localization error of WSN
X Ou, M Wu, Y Pu, B Tu, G Zhang, Z Xu
Applied Soft Computing 125, 109211, 2022
582022
Hyperspectral anomaly detection using dual window density
B Tu, X Yang, C Zhou, D He, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8503-8517, 2020
582020
Convolutional transformer-based few-shot learning for cross-domain hyperspectral image classification
Y Peng, Y Liu, B Tu, Y Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023
572023
The system can't perform the operation now. Try again later.
Articles 1–20