Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images
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DOI: 10.1109/lgrs.2020.3020498
Abstract: This letter proposes a semi-supervised mixtures of factor analyzers (S2MFA) feature extraction (FE) method for hyperspectral image (HSI). S2MFA uses a Gaussian mixture model to segment the image to different regions, each region follows a… read more here.
Keywords: supervised mixtures; factor analyzers; feature extraction; mixtures factor ... See more keywords