The problem of estimating the scale factors related to blindly separated relative abundance maps is addressed. The nature of the quantities looked for is such that their sum must be everywhere equal to one. Exploiting this property, the problem is solved within the framework of a linear noisy mixture model, with signal-independent and zero-mean noise.

Scale disambiguation of blindly unmixed endmember abundances

Salerno E
2006

Abstract

The problem of estimating the scale factors related to blindly separated relative abundance maps is addressed. The nature of the quantities looked for is such that their sum must be everywhere equal to one. Exploiting this property, the problem is solved within the framework of a linear noisy mixture model, with signal-independent and zero-mean noise.
2006
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Noisy linear mixture models
Scale ambiguity
Spectral unmixing
Remote sensing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/148705
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