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ORCIDWenbo Yu 0001
Person information
- affiliation: Harbin Institute of Technology, Department of Control Science and Engineering, China
Other persons with the same name
- Wenbo Yu — disambiguation page
- Wenbo Yu 0002
![[0000-0001-6962-5314]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6962-5314")
— University of Maryland, Department of Pharmaceutical Sciences, School of Pharmacy, Baltimore, MD, USA
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Journal Articles
- 2024
[j12]Wenbo Yu, He Huang, Yi Shen, Gangxiang Shen:
Crossmodal Sequential Interaction Network for Hyperspectral and LiDAR Data Joint Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j11]Wenbo Yu, Lianru Gao, He Huang, Yi Shen, Gangxiang Shen:
PID-HLfusion: Pluggable Progressive Illumination Driven Hyperspectral and LiDAR Data Fusion Considering Crossmodal Geometric Structures. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - 2023
- [j10]Huanhuan Li, Wenbo Yu, He Huang:
Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout. Neural Networks 165: 925-937 (2023) - [j9]Wenbo Yu, Lianru Gao, He Huang, Yi Shen, Gangxiang Shen:
HI2D2FNet: Hyperspectral Intrinsic Image Decomposition Guided Data Fusion Network for Hyperspectral and LiDAR Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j8]Wenbo Yu, He Huang, Miao Zhang, Yi Shen, Gangxiang Shen:
Shadow Mask-Driven Multimodal Intrinsic Image Decomposition for Hyperspectral and LiDAR Data Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j7]Wenbo Yu, He Huang, Gangxiang Shen:
Deep Spectral-Spatial Feature Fusion-Based Multiscale Adaptable Attention Network for Hyperspectral Feature Extraction. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - 2022
- [j6]Wenbo Yu, He Huang, Gangxiang Shen:
Multilevel Dual-Direction Modifying Variational Autoencoders for Hyperspectral Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Wenbo Yu, Miao Zhang, He Huang:
Accelerated Adaptive Feature Balance Technique Based on TEMD for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j4]Wenbo Yu, Miao Zhang, Zhi He, Yi Shen:
Convolutional Two-Stream Generative Adversarial Network-Based Hyperspectral Feature Extraction. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - 2021
- [j3]Wenbo Yu, Miao Zhang, Yi Shen:
Spatial Revising Variational Autoencoder-Based Feature Extraction Method for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(2): 1410-1423 (2021) - 2019
- [j2]Wenbo Yu, Miao Zhang, Yi Shen:
Combined FATEMD-based band selection method for hyperspectral images. IET Image Process. 13(2): 287-298 (2019) - [j1]Wenbo Yu, Miao Zhang, Yi Shen:
Learning a local manifold representation based on improved neighborhood rough set and LLE for hyperspectral dimensionality reduction. Signal Process. 164: 20-29 (2019)
Conference and Workshop Papers
- 2018
- [c3]Wenbo Yu, Miao Zhang, Yi Shen:
Learning a Stable Local Manifold Representation for Hyperspectral Linear Dimensionality Reduction. IGARSS 2018: 3555-3558 - [c2]Miao Zhang, Wenbo Yu, Yi Shen:
Three-Dimensional Empirical Mode Decomposition Based Hyperspectral Band Selection Method. IGARSS 2018: 4701-4704 - 2016
- [c1]Peiyuan Jia, Miao Zhang, Wenbo Yu, Fei Shen, Yi Shen:
Convolutional neural network based classification for hyperspectral data. IGARSS 2016: 5075-5078
Coauthor Index
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