Fundamental Estimation Bounds for Polarimetric Imagery
Document Type
Article
Publication Date
7-25-2008
Department
Department of Electrical and Computer Engineering
School or Division
Graduate School of Engineering and Management
Digital Object Identifier
Source Publication
Optics Express (e-ISSN 1094-4087)
Abstract
Precise channel-to-channel registration is a prerequisite for effective exploitation of passive polarimetric imagery. In this paper, the Cramer-Rao bound is employed to determine the limits of registration precision in the presence of scene polarization diversity, channel noise, and random translational registration errors between channels. The effects of misregistration on Stokes image estimation are also explored in depth. Algorithm bias is discussed in the context of the bound, without being estimator specific. Finally, case studies are presented for polarization insensitive imagery (a special case) and linear polarization imaging systems with three and four channels. An optimum polarization channel arrangement is proposed in the context of the bound.
Recommended Citation
Daniel A. LeMaster, "Fundamental estimation bounds for polarimetric imagery," Opt. Express 16, 12018-12036 (2008)
Comments
Author Daniel A. LeMaster was completing a PhD program at AFIT at the time of publication. (PhD August 2008, AFIT-DEE-ENG-08-18)
© 2008 Optical Society of America.
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