1 November 2010 Image recovery from polarimetric, nonimaged laser speckle
Donald B. Dixon, Stephen C. Cain
Author Affiliations +
Abstract
The addition of polarization diversity for a non-imaging laser speckle system provides improvement for the phase retrieval problem. The polarization diversity of the remote scene provides additional information for successfully recovering a two-dimensional image from noisy autocorrelations obtained from laser speckle patterns or pupil plane images. The proposed system may be used to characterize space-borne objects and debris with an earthbased sensor array. We propose an Expectation-Maximization (EM) algorithm with a simple, statistical-based stopping criteria. Results from both simulation and laboratory experiment are presented.
Donald B. Dixon and Stephen C. Cain "Image recovery from polarimetric, nonimaged laser speckle," Journal of Applied Remote Sensing 4(1), 043558 (1 November 2010). https://doi.org/10.1117/1.3524542
Published: 1 November 2010
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KEYWORDS
Image restoration

Speckle

Polarimetry

Expectation maximization algorithms

Polarization

Algorithm development

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