2 papers
cs.CV2026
Global-Scale Self-Supervised Spatiotemporal Learning for NDVI Time-Series Reconstruction
Ang Li, Menghui Jiang, Xiaobin Guan +2
Accurate and efficient reconstruction of cloud-contaminated and noise-corrupted NDVI time series remains a challenge in remote sensing. Deep learning provides a promising solution…
eess.SP2021
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion
Dong Chu, Huanfeng Shen, Xiaobin Guan +4
The applications of Normalized Difference Vegetation Index (NDVI) time-series data are inevitably hampered by cloud-induced gaps and noise. Although numerous reconstruction methods…