Search Results - Redding, Nicholas J.

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  1. 1
    Human target detection performance using synthetic-aperture radar imagery in a quasi-operational context

    Human target detection performance using synthetic-aperture radar imagery in a quasi-operational context by Ewing, Gary J, Redding, Nicholas J, Kettler, David I

    Published in Optical Engineering
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  2. 2
    Implicit polynomials, orthogonal distance regression, and the closest point on a curve

    Implicit polynomials, orthogonal distance regression, and the closest point on a curve by Redding, N.J.

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  3. 3
    SAR image formation via inversion of Radon transforms

    SAR image formation via inversion of Radon transforms by Redding, N.J.

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  4. 4
    On the extraction of 3D models from airborne video sensors for geolocation

    On the extraction of 3D models from airborne video sensors for geolocation by Cooke, Tristrom, Whatmough, Robert, Redding, Nicholas J., Ewing, Gary, El-Mahassni, Edwin

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  5. 5
    Comparison of Selected Features for Target Detection in Synthetic Aperture Radar Imagery

    Comparison of Selected Features for Target Detection in Synthetic Aperture Radar Imagery by Cooke, Tristrom, Redding, Nicholas J., Schroeder, Jim, Zhang, Jingxin

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  6. 6
    GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

    GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection by Ohmer, J.F., Redding, N.J.

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  7. 7
    Target discrimination in complex synthetic aperture radar imagery

    Target discrimination in complex synthetic aperture radar imagery by Cooke, T., Redding, N.J., Schroeder, J., Jingxin Zhang

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  8. 8
    Efficient calculation of finite Gabor transforms

    Efficient calculation of finite Gabor transforms by Redding, N.J., Newsam, G.N.

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  9. 9
    Online Tracking of People through a Camera Network

    Online Tracking of People through a Camera Network by Sherrah, J., Kamenetsky, D., Whatmough, R., Redding, N. J.

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  10. 10
    Evaluation of a Particle Filter to Track People for Visual Surveillance

    Evaluation of a Particle Filter to Track People for Visual Surveillance by Sherrah, J., Ristic, B., Redding, N.J.

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  11. 11
    GPU-Accelerated Background Generation Algorithm with Low Latency

    GPU-Accelerated Background Generation Algorithm with Low Latency by Ohmer, Julius Fabian, Perry, Peter G., Redding, Nicholas J.

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  12. 12
    Cross-Matching via Feature Matching for Camera Handover with Non-overlapping Fields of View

    Cross-Matching via Feature Matching for Camera Handover with Non-overlapping Fields of View by Redding, N.J., Ohmer, J.F., Kelly, J., Cooke, T.

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  13. 13
    Estimating the Parameters of the K Distribution in the Intensity Domain

    Estimating the Parameters of the K Distribution in the Intensity Domain by Redding, Nicholas J

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  14. 14
    Computation and conditioning of the finite-discrete Gabor transform

    Computation and conditioning of the finite-discrete Gabor transform by Redding, N.J., Newsam, G.N.

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  15. 15
    Urban video surveillance from airborne and ground-based platforms

    Urban video surveillance from airborne and ground-based platforms by Redding, N.J, Booth, D.M, Jones, R

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  16. 16
    An Overview of Geolocation of Airborne Video Using 3D Models

    An Overview of Geolocation of Airborne Video Using 3D Models by Cooke, Tristrom, Whatmough, Robert, Redding, Nicholas J, El-Mahassni, Edwin

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  17. 17
    Implementation of the Radon Transform Using Non-Equispaced Discrete Fourier Transforms

    Implementation of the Radon Transform Using Non-Equispaced Discrete Fourier Transforms by Jones, Ronald, Cooke, Tristrom, Redding, Nicholas J

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  18. 18
    Inverting the spherical Radon transform for 3D SAR image formation

    Inverting the spherical Radon transform for 3D SAR image formation by Redding, N.J., Payne, T.M.

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  19. 19
    Video Moving Target Indication in the Analysts' Detection Support System

    Video Moving Target Indication in the Analysts' Detection Support System by Jones, Ronald, Booth, David M, Redding, Nicholas J

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  20. 20
    Fitting the Most Likely Curve through Noisy Data

    Fitting the Most Likely Curve through Noisy Data by Newsam, Garry N, Redding, Nicholas J

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