Hyperspectral Denoising via Global Variation and Local Structure Low-Rank Model. - Lan Li 005; Meiping Song; Qiang Zhang 011; Yushuai Dong (IEEE Trans. Geosci. Remote. Sens., 2023)

Subpixel Mapping of Hyperspectral Image Based on Multiscale and Multifeature. - Meiping Song; Lan Li 005; Chunyun Zhang; Pengliang Shi; Liaoying Zhao; Bai Xue (IEEE Trans. Geosci. Remote. Sens., 2023)

Feedback Band Group and Variation Low-Rank Sparse Model for Hyperspectral Image Anomaly Detection. - Lan Li 005; Qiang Zhang 011; Meiping Song; Chein-I Chang (IEEE Trans. Geosci. Remote. Sens., 2024)

Stain Detection Based on Unmanned Aerial Vehicle Hyperspectral Photovoltaic Module. - Da Li; Lan Li 005; Mingyang Cui; Pengliang Shi; Yintong Shi; Jian Zhu; Sui Dai; Meiping Song (Remote. Sens., 2024)

Local Extremum Constrained Total Variation Model for Natural and Hyperspectral Image Non-Blind Deblurring. - Lan Li 005; Meiping Song; Qiang Zhang 011; Yushuai Dong; Yulei Wang 002; Qiangqiang Yuan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection. - Meiping Song; Zhenyu Guo; Lan Li 005; Shihui Liu; Haimo Bao; Jiakang Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Tensor-Based Go Decomposition Method for Hyperspectral Anomaly Detection. - Meiping Song; Xiao Zhang 027; Lan Li 005; Hongju Cao; Haimo Bao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)