Land Cover Classification with Gaussian Processes Using Spatio-Spectro-Temporal Features
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING（2023）
Key words
Computational modeling,Training,Data models,Biological system modeling,Gaussian processes,Support vector machines,Kernel,Classification,Earth observation (EO),land cover map,large scale,pixel-based,remote sensing,satellite image time series (SITS),Sentinel-2,sparse variational Gaussian processes (GPs)
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