Hailiang Lu

According to our database, Hailiang Lu authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

KACNet: Kolmogorov-Arnold Convolution Network for Hyperspectral Anomaly Detection.

Zhaoyue Wu, Hailiang Lu, Mercedes Eugenia Paoletti, Hongjun Su, Weipeng Jing, Juan Mario Haut

IEEE Trans. Geosci. Remote. Sens., 2025

A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening.

Hailiang Lu, Mercedes Eugenia Paoletti, Juan Mario Haut, Sergio Moreno-Álvarez, Guangsheng Chen, Weipeng Jing

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data.

Dandan Li, Hailiang Lu, Mercedes Eugenia Paoletti, Juan Mario Haut, Juntao Gu, Chao Li, Weipeng Jing

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2023

Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review.

Guangsheng Chen, Hailiang Lu, Weitao Zou, Linhui Li, Mahmoud Emam, Xuebin Chen, Weipeng Jing, Jian Wang, Chao Li

J. King Saud Univ. Comput. Inf. Sci., March, 2023

Forest Height Inversion by Convolutional Neural Networks Based on L-Band PolInSAR Data Without Prior Knowledge Dependency.

Dandan Li, Hailiang Lu, Chao Li, Linda Mohaisen, Weipeng Jing

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

StfMLP: Spatiotemporal Fusion Multilayer Perceptron for Remote-Sensing Images.

Guangsheng Chen, Hailiang Lu, Donglin Di, Linhui Li, Mahmoud Emam, Weipeng Jing

IEEE Geosci. Remote. Sens. Lett., 2023