Estimation of signal subspace on hyperspectral data
Dimensionality reduction plays a crucial role in many hyperspectral data processing and analysis algorithms. This paper proposes a new mean squared error based approach to determine the signal subspace in hyperspectral imagery. The method first estimates the signal and noise correlations matrices, t...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.21/6096 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6096 |