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Book synopsis

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.

Book details

Book category Books in English Society & social sciences Education

• Full title: Statistical Processing Methods for Polarimetric Imagery
• Author: Daniel A LeMaster
• Language: English
• Binding: Paperback
• Number of pages: 136
• EAN: 9781249831167
• ISBN: 9781249831167
• ID: 08143349
• Publisher: Biblioscholar
• Weight: 254 g
• Dimensions: 246 × 189 × 7 mm
• Date of publishing: 17. October 2012

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