Abstract: Analyzing hyperspectral images (HSIs) using supervised classification is challenging, primarily because of the higher spectral dimensions and the presence of rich and complex spatial ...
Phase A: Assemble all satellite score parquets into a single matrix. Phase B: Exploratory PCA on the full variable space (factorial structure). Phase C: Select 15 metabolic variables and cluster via ...
Phase A: Assemble all satellite score parquets into a single matrix. Phase B: Exploratory PCA on the full variable space (factorial structure). Phase C: Select 15 metabolic variables and cluster via ...
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