4 papers
A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval
Tian Xie, Menghui Jiang, Chao Zeng +4
Land surface temperature (LST) is a fundamental physical variable in land-atmosphere interactions, surface energy budgets, and climate processes. LST derived from medium- to high-r…
30-meter Land Surface Temperature from Landsat via Progressive Self-Training Downscaling
Huanfeng Shen, Chan Li, Menghui Jiang +3
Land surface temperature (LST) is a critical parameter for characterizing surface energy balance and hydrothermal processes. While Landsat provides invaluable LST observations at m…
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature
Tian Xie, Menghui Jiang, Huanfeng Shen +5
Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inve…
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning
Jing Sun, Huanfeng Shen, Qiangqiang Yuan +1
Image super-resolution (SR) is an effective way to enhance the spatial resolution and detail information of remote sensing images, to obtain a superior visual quality. As SR is sev…