3 papers
cs.CV2026
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…
physics.ao-ph2025
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…
cs.CV2024
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…