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Könyv Statistical Processing Methods for Polarimetric Imagery Daniel A LeMaster

Statistical Processing Methods for Polarimetric Imagery

Szerző: Daniel A LeMaster
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Biblioscholar
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
20 842 Ft
Estimation theory is applied to a physical model of incoherent polarized light to address problems i...

Információk a könyvről

Szerző
Daniel A LeMaster
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
136
EAN
9781249831167
ISBN
9781249831167
Enbook ID
08143349
Kiadó
Biblioscholar
Súly
254
Méretek
189 x 246 x 7

Teljes leírás

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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