Chao Yang

Orcid: 0009-0009-7637-7254

Affiliations:
  • Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China


According to our database1, Chao Yang authored at least 12 papers between 2020 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
Robust Optical and SAR Image Matching Using Attention-Enhanced Structural Features.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Comparative Analysis of Pixel-Level Fusion Algorithms and a New High-Resolution Dataset for SAR and Optical Image Fusion.
Remote. Sens., December, 2023

R₂FD₂: Fast and Robust Matching of Multimodal Remote Sensing Images via Repeatable Feature Detector and Rotation-Invariant Feature Descriptor.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A Multiscale Framework With Unsupervised Learning for Remote Sensing Image Registration.
IEEE Trans. Geosci. Remote. Sens., 2022

Feature Decomposition-Optimization-Reorganization Network for Building Change Detection in Remote Sensing Images.
Remote. Sens., 2022

Optical-to-SAR Image Matching Using Multiscale Masked Structure Features.
IEEE Geosci. Remote. Sens. Lett., 2022

R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor.
CoRR, 2022

A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients.
CoRR, 2022

Comparative Analysis of Pixel Level Fusion Algorithms in High Resolution SAR and Optical Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Improving Co-Registration for Sentinel-1 SAR and Sentinel-2 Optical Images.
Remote. Sens., 2021

2020
Misregistration Measurement and Improvement for Sentinel-1 SAR and Sentinel-2 Optical images.
CoRR, 2020

Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation.
CoRR, 2020


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