293 citations · 295 across the 6 of their papers we have counts for
6 papers
Physics-Guided VLM Priors for All-Cloud Removal
Liying Xu, Huifang Li, Huanfeng Shen
Cloud removal is a fundamental challenge in optical remote sensing due to the heterogeneous degradation. Thin clouds distort radiometry via partial transmission, while thick clouds…
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…
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…
PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
Liying Xu, Huifang Li, Huanfeng Shen +2
Data quantity and quality are both critical for information extraction and analyzation in remote sensing. However, the current remote sensing datasets often fail to meet these two…
A physics-constrained machine learning method for mapping gapless land surface temperature
Jun Ma, Huanfeng Shen, Menghui Jiang +5
More accurate, spatio-temporally, and physically consistent LST estimation has been a main interest in Earth system research. Developing physics-driven mechanism models and data-dr…
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
Zhiwei Li, Huanfeng Shen, Huifang Li +3
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1 (GF-1) optical satellite has a 16-m resolution and four-day revisit cycle for large-scale Earth observation…