Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps
نویسندگان
چکیده
We propose a powerful alternative to customary linear spectral unmixing, with a new neural model, which achieves locally linear but globally non-linear unmixing. This enables unmixing with respect to a large number of endmembers, while traditional linear unmixing is limited to a handful of endmembers.
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