Fast unsupervised extraction of endmembers spectra from hyperspectral data
Linear unmixing decomposes an hyperspectral image into a collection of re ectance spectra, called endmember signatures, and a set corresponding abundance fractions from the respective spatial coverage. This paper introduces vertex component analysis, an unsupervised algorithm to unmix linear mixture...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.21/6151 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6151 |