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Aug 2026

A Physics‐Guided Feature Selection Machine Learning Approach for Cloud Probability Retrieval and Detection From TEMPO Imagery

Accurate cloud detection is critical for reliable retrievals of aerosols and trace gases from remote‐sensing measurements. TEMPO provides unprecedented hourly observations over North America, but radiometric calibration biases, thousands of spectral channels, and limited spectral coverage make cloud detection challengi...

Xiaohang Shi, Yu-Long Fan, Kai Yang et al. · 0 citations
2026

Haze Thickness Prior-Injected Spectral-Spatial Dehazing Network for Hyperspectral Image

Haze pollution leads to reduced spatial visibility and spectral distortion in remote sensing hyperspectral images (HSIs), reducing application capabilities. The distribution of haze in HSIs is spatially irregular and spectrally inhomogeneous, and the effective separation of the haze and the scene information is challen...

Hang Fu, Bao-Jie Shao, Ai-Zhu Zhang et al. · 0 citations

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