Xiao-Yang Zhao

Orcid: 0000-0002-8707-3768

Affiliations:
  • Liaoning Normal University, College of Computer and Information Technology, Dalian, China


According to our database1, Xiao-Yang Zhao authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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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

2023
MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion.
Knowl. Based Syst., March, 2023

GeSANet: Geospatial-Awareness Network for VHR Remote Sensing Image Change Detection.
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
NSST and vector-valued C-V model based image segmentation algorithm.
IET Image Process., 2020

2019
A salt and pepper noise image denoising method based on the generative classification.
Multim. Tools Appl., 2019

A convolutional neural networks denoising approach for salt and pepper noise.
Multim. Tools Appl., 2019

Patch-based contour prior image denoising for salt and pepper noise.
Multim. Tools Appl., 2019

2018
A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise.
CoRR, 2018

A salt and pepper noise image denoising method based on the generative classification.
CoRR, 2018


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