New phasor reconstruction for speckle imaging

Gregory C. Dente; Michael L. Tilton

doi:10.1117/12.899404

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10 October 2011 New phasor reconstruction for speckle imaging

Gregory C. Dente, Michael L. Tilton

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Proceedings Volume 8178, Optics in Atmospheric Propagation and Adaptive Systems XIV; 81780I (2011) https://doi.org/10.1117/12.899404
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

We will present results for new object spectrum phasor reconstruction methods in speckle imaging. Each phasor reconstruction algorithm results from minimizing a very naturally defined weighted-least-squares error function. Once we pick a phasor-based error function, the remaining steps in our algorithms are developed by setting the error function variation, with respect to each phasor element, to zero. The resulting coupled nonlinear equations for the minimum error phasor array are then solved iteratively, locating the error function minimum. In these applications, we will specifically compare and contrast three implementations: 1) Knox-Thompson; 2) bispectrum, using two unit-shift bispectrum planes; 3) bispectrum, using four bispectrum planes. Although we develop and minimize error functions for three specific singleaperture speckle methods, the approach readily generalizes to other cases.

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Gregory C. Dente and Michael L. Tilton "New phasor reconstruction for speckle imaging", Proc. SPIE 8178, Optics in Atmospheric Propagation and Adaptive Systems XIV, 81780I (10 October 2011); https://doi.org/10.1117/12.899404

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