Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral–Spatial Discriminant Feature Extraction
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DOI: 10.1109/lgrs.2017.2734960
Abstract: This letter explores a spectral–spatial tensor-based dimensionality reduction (DR) method to cope with hyperspectral image (HSI) feature extraction and classification. This method uses the Gabor filter banks as the bias spectral–spatial feature hybrider and further… read more here.
Keywords: feature; spectral spatial; based dimensionality; feature extraction ... See more keywords