Xiao-Yang Zhao
Orcid: 0000-0002-8707-3768Affiliations:
- Liaoning Normal University, College of Computer and Information Technology, Dalian, China
According to our database1,
Xiao-Yang Zhao
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
GaMPF: A Full-Scale Gated Message Passing Framework Based on Collaborative Estimation for VHR Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
GTransCD: Graph Transformer-Guided Multitemporal Information United Framework for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Interdomain Collaboration Between Hyperspectral and VHR Remote Sensing Images: A Cross-Scene Few-Shot Learning Framework for Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion.
Knowl. Based Syst., March, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
TriTF: A Triplet Transformer Framework Based on Parents and Brother Attention for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
BiG-FSLF: A Cross Heterogeneous Domain Few-Shot Learning Framework Based on Bidirectional Generation for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
GTMSiam: Gated Transmitting-Based Multiscale Siamese Network for Hyperspectral Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
FSL-Unet: Full-Scale Linked Unet With Spatial-Spectral Joint Perceptual Attention for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2022
CSDBF: Dual-Branch Framework Based on Temporal-Spatial Joint Graph Attention With Complement Strategy for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
2020
IET Image Process., 2020
2019
A salt and pepper noise image denoising method based on the generative classification.
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
2018
CoRR, 2018
A salt and pepper noise image denoising method based on the generative classification.
CoRR, 2018