Sparse-expression-graph-based semi-supervised classification method for hyperspectral images
The invention discloses a sparse-expression-graph-based semi-supervised classification method for hyperspectral images. The method comprises: according to pixel data of a hyperspectral image, a category probability matrix is obtained, wherein the pixel data include pixel data with categories marked...
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Format: | Patent |
Sprache: | chi ; eng |
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