Hyperspectral signal subspace estimation
Given an hyperspectral image, the determination of the number of endmembers and the subspace where they live without any prior knowledge is crucial to the success of hyperspectral image analysis. This paper introduces a new minimum mean squared error based approach to infer the signal subspace in hy...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.21/6140 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6140 |