5 papers
LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification
Weijia Cao, Xiaofei Yang, Fu Wang +2
Hyperspectral image classification is complicated by mixed pixels, spectral ambiguity, class imbalance, and limited annotations. Most current classifiers encode a pixel or patch as…
Physics-Informed Feature Engineering 1D-CNN for Multilayer Cloud Detection from Geostationary Satellites
Fu Wang, Chi Yang, Qi-Feng Lu +5
Multilayer cloud detection from active--passive observation is vital for numerical weather prediction. In this study, channel selections derived from threshold-based algorithms are…
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
Fu Wang, Qifeng Lu, Xinyu Long +4
Accurate forecasting of three-dimensional (3D) cloud fields is important for atmospheric analysis and short-range numerical weather prediction, yet it remains challenging because c…
SGMAGNet: A Baseline Model for 3D Cloud Phase Structure Reconstruction on a New Passive Active Satellite Benchmark
Chi Yang, Fu Wang, Xiaofei Yang +3
Cloud phase profiles are critical for numerical weather prediction (NWP), as they directly affect radiative transfer and precipitation processes. In this study, we present a benchm…
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
Weijia Cao, Xiaofei Yang, Yicong Zhou +1
Hyperspectral image classification presents challenges due to spectral redundancy and complex spatial-spectral dependencies. This paper proposes a novel framework, DCT-Mamba3D, for…