Chuang Li
Orcid: 0000-0002-9331-2278Affiliations:
- Xidian University, Hangzhou Institute of Technology, China
- Harbin Engineering University, College of Information and Communication Engineering, China (PhD 2023)
According to our database1,
Chuang Li authored at least 11 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Hyperspectral Anomaly Detection via Spectral-Spatial Enhanced Low-Rank Collaborative Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2026
2025
Forgetting the Background: A Masking Approach for Enhanced Infrared Small-Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2025
Incremental Multitask Contrastive Learning Network for End-to-End Few-Shot Open-Set Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2025
Semi-Supervised Graph Constraint Dual Classifier Network With Unknown Class Feature Learning for Hyperspectral Image Open-Set Classification.
IEEE Geosci. Remote. Sens. Lett., 2025
2024
Self-Adaptive Global Feature Fusion Network With Spectral Prompt for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
2022
Enhanced Total Variation Regularized Representation Model With Endmember Background Dictionary for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Spectral-Spatial Anomaly Detection via Collaborative Representation Constraint Stacked Autoencoders for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
A Spectral-Spatial Method Based on Fractional Fourier Transform and Collaborative Representation for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2021
Hyperspectral Anomaly Detection Using Bilateral-Filtered Generative Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A Spectral-Spatial Anomaly Target Detection Method Based on Fractional Fourier Transform and Saliency Weighted Collaborative Representation for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Spectral-Spatial Stacked Autoencoders Based on the Bilateral Filter for Hyperspectral Anomaly Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020