Hyperspectral unmixing based on mixtures of Dirichlet components
This paper introduces a new unsupervised hyperspectral unmixing method conceived to linear but highly mixed hyperspectral data sets, in which the simplex of minimum volume, usually estimated by the purely geometrically based algorithms, is far way from the true simplex associated with the endmembers...
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| Format: | article |
| Language: | eng |
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2015
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| Online Access: | http://hdl.handle.net/10400.21/5085 |
| Country: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/5085 |