Wenbo Yu
Orcid: 0000-0001-5946-9565Affiliations:
- Harbin Institute of Technology, Department of Control Science and Engineering, China
According to our database1,
Wenbo Yu
authored at least 13 papers
between 2016 and 2024.
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Bibliography
2024
Crossmodal Sequential Interaction Network for Hyperspectral and LiDAR Data Joint Classification.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Deep Spectral-Spatial Feature Fusion-Based Multiscale Adaptable Attention Network for Hyperspectral Feature Extraction.
IEEE Trans. Instrum. Meas., 2023
Shadow Mask-Driven Multimodal Intrinsic Image Decomposition for Hyperspectral and LiDAR Data Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023
HI<sup>2</sup>D<sup>2</sup>FNet: Hyperspectral Intrinsic Image Decomposition Guided Data Fusion Network for Hyperspectral and LiDAR Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Convolutional Two-Stream Generative Adversarial Network-Based Hyperspectral Feature Extraction.
IEEE Trans. Geosci. Remote. Sens., 2022
Accelerated Adaptive Feature Balance Technique Based on TEMD for Hyperspectral Classification.
IEEE Geosci. Remote. Sens. Lett., 2022
Multilevel Dual-Direction Modifying Variational Autoencoders for Hyperspectral Feature Extraction.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Spatial Revising Variational Autoencoder-Based Feature Extraction Method for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2021
2019
Learning a local manifold representation based on improved neighborhood rough set and LLE for hyperspectral dimensionality reduction.
Signal Process., 2019
IET Image Process., 2019
2018
Learning a Stable Local Manifold Representation for Hyperspectral Linear Dimensionality Reduction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Three-Dimensional Empirical Mode Decomposition Based Hyperspectral Band Selection Method.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016