Publication | Closed Access
On the relationship between spectral unmixing and subspace projection
133
Citations
2
References
1996
Year
EngineeringProportional Ground CoverMultispectral ImagingLinear TransformationFunctional AnalysisEarth ScienceImage AnalysisSubspace ProjectionMultilinear Subspace LearningComputational ImagingSynthetic Aperture RadarImaging SpectroscopySpectral ImagingGeographySpectral UnmixingInverse ProblemsProjection SystemHyperspectral ImagingRadarSpectral AnalysisRemote Sensing
A linear transformation was recently recommended for application on hyperspectral imagery. This note shows that the method is completely equivalent to extracting proportional ground cover by standard means, but is less efficient than the more usual methods of spectral unmixing.
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