Does independent component analysis play a role in unmixing hyperspectral data?
Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a linear mixture of the constituent spectra (endmember spectra) weighted by the correspondent abundance fractions (sources); 2)...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Texto completo: | http://hdl.handle.net/10400.21/3653 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/3653 |