Joint Image and Pupil Plane Reconstruction Algorithm Based on Bayesian Techniques

Joint Image and Pupil Plane Reconstruction Algorithm Based on Bayesian Techniques

James D Phillips

MIA KARTS BOOKS

Joint Image and Pupil Plane Reconstruction Algorithm Base...
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    Joint Image and Pupil Plane Reconstruction Algorithm Based on Bayesian Techniques

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    Book Details

    Author
    James D Phillips
    Publisher
    Biblioscholar
    Format
    Paperback
    Language
    English
    Category
    Schools & Teaching
    Condition
    New
    ISBN-13
    9781288306886
    ISBN-10
    1288306881

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    Product description

    ISBN: 1288306881

    Author: Phillips, James D

    Condition: New

    The focus of this research was to develop an joint pupil and focal plane image recovery algorithm for use with coherent LADAR systems. The benefits of such a system would include increased resolution with little or no increase in system weight and volume as well as allowing for operation in the absence of natural light since the target of interest would be actively illuminated. Since a pupil plane collection aperture can be conformal, such a system would also potentially allow for the formation of large synthetic apertures. The system is demonstrated to be robust and in all but extreme cases yield better results than algorithms using a single data set (such as deconvolution). It was shown that the joint algorithm had a resolution increase of 70% over deconvolution alone and a 40% increase over traditional pupil plane algorithms. It is also demonstrated that the new algorithm does not suffer as severely from stagnation problems typical with pupil plane algorithms.

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    Joint Image and Pupil Plane Reconstruction Algorithm Based on Bayesian Techniques

    $65.50 USD
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