Package

Peer Reviewer

Optica ; IEEE Trans. Geosci. Remote Sens. ; Knowl-based Syst ; Opt. Express ; IEEE Access.

Publication:

2024:

[1]    X. Cao, Y. Lian*, K. Wang, C. Ma and X. Xu,“Unsupervised Hybrid Network of Transformer and CNN for Blind Hyperspectral and Multispectral Image Fusion,” IEEE Trans. Geosci. Remote Sens., 2024. (Paper , Project & code) 🏆 Highly Cited Paper [24-07 ESI]

[2]    X. Cao, Y. Lian*, J. Li, Z. Liu, and K. Wang,“Unsupervised Spectral Reconstruction from RGB images under Two Lighting Conditions,” Opt. Lett., 2024. (Paper , Project & code)

[3]    X. Cao, Y. Lian*, J. Li, K. Wang, and C. Ma,“Unsupervised Multi-level Spatio-spectral Fusion Transformer for Hyperspectral Image Super-resolution,” Opt. Laser Technol., 2024. (Paper , Project & code)

[4]    X. Cao, X. Wang, X. Dun, X. Hao*, Y. Lian, and X. Cheng,“Invariable Domain-aware Deep Unfolding Transformer for Hyperspectral and Multispectral Image Fusion,” IEEE Trans. Image Process. , 2024. (Submitted , Project & code)

2023:

[5]    X. Cao, Y. Lian*, Z. Liu, J. Wu, W. Zhang, and J. Liu,“Hyperspectral Image Super-resolution via Spectral Matching and Correction,” J. Opt. Soc. Am. A, 2023. (Paper , Project & code)

[6]    X. Cao, Y. Lian*, Z. Liu, H. Zhou, B. Wang, B. Hunag and W. Zhang,“Universal High Spatial Resolution Hyperspectral Imaging using Hybrid-resolution Image Fusion,” Opt. Eng., 2023. (Paper , Project & code)

2022:

[7]    X. Cao, Y. Lian*, Z. Liu, H. Zhou, B. Wang, W. Zhang, and B. Huang,“Hyperspectral Image Super-resolution via a Multi-stage Scheme without Employing Spatial Degradation,” Opt. Lett., 2022. (Paper , Project & code)

[8]    X. Cao, Y. Lian*, Z. Liu, H. Zhou, X. Hu, B. Huang, and W. Zhang,“Hyperspectral Image Super-resolution based on the Transfer of Both Spectra and Multi-level Features,” Opt. Lett., 2022. (Paper , Project & code)