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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Bibliographic Details
Main Author: Bioucas-Dias, José M. (author)
Other Authors: Nascimento, Jose (author)
Format: conferenceObject
Language:eng
Published: 2016
Subjects:
Dimensionality reduction
Model selection
Order selection
Hyperspectral imagery
Linear mixture
Signal subspace
Online Access:http://hdl.handle.net/10400.21/6096
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6096

Internet

http://hdl.handle.net/10400.21/6096

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