Kniha Statistical Processing Methods for Polarimetric Imagery Daniel A LeMaster

Statistical Processing Methods for Polarimetric Imagery

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Biblioscholar
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
1 256
Estimation theory is applied to a physical model of incoherent polarized light to address problems i...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2012
Stránek
136
EAN
9781249831167
ISBN
9781249831167
Enbook ID
08143349
Vydavatel
Hmotnost
254
Rozměry
189 x 246 x 7

Kompletní popis

Estimation theory is applied to a physical model of incoherent polarized light to address problems in polarimetric image registration, restoration, and analysis for electro-optical imaging systems. In the image registration case, the Cramer-Rao lower bound on unbiased joint estimates of the registration parameters and the underlying scene is derived, simpli ed using matrix methods, and used to explain the behavior of multi-channel linear polarimetric imagers. In the image restoration case, a polarimetric maximum likelihood blind deconvolution algorithm is derived and tested using laboratory and simulated imagery.Finally, a principal components analysis is derived for polarization imaging systems. This analysis expands upon existing research by including an allowance for partially polarized and unpolarized light.

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