Search Results - "Crisp, David J."

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  1. 1
    Comparison of ship detectors for polarimetric SAR imagery

    Comparison of ship detectors for polarimetric SAR imagery by Crisp, David J, Keevers, Thomas

    Published in OCEANS'10 IEEE SYDNEY (01-05-2010)
    “…This paper examines the benefits of using fully polarimetric SAR imagery for ship detection. There are three related aspects to the work. First, RadarSat-2…”
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  2. 2
    Robust Absolute Calibration for SAR

    Robust Absolute Calibration for SAR by Crisp, David J.

    “…We describe two radiometric calibration issues using in-scene corner reflectors acquired with the DST Ingara experimental synthetic aperture radar (SAR)…”
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  3. 3
    Modelling X-band sea clutter with the K-distribution: Shape parameter variation

    Modelling X-band sea clutter with the K-distribution: Shape parameter variation by Crisp, D.J., Rosenberg, L., Stacy, N.J., Yunhan Dong

    “…Performance modelling techniques for maritime radar target detection problems typically make use of a parametric probability distribution for the background…”
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  4. 4
    The Euler decomposition and its application to sea clutter analysis

    The Euler decomposition and its application to sea clutter analysis by Yunhan Dong, Crisp, D.J.

    Published in 2008 International Conference on Radar (01-09-2008)
    “…Re-examining the Euler decomposition technique we indicate that some previous decomposition algorithms are incomplete and contain errors. We provide a correct…”
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  5. 5
    Analysis of the KK-distribution with X-band medium grazing angle sea-clutter

    Analysis of the KK-distribution with X-band medium grazing angle sea-clutter by Rosenberg, L., Crisp, D.J., Stacy, N.J.

    “…Robust maritime surveillance with radar requires an accurate description of the backscatter from the sea. An estimated probability distribution of the…”
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  6. 6
    Modelling X-band sea clutter at moderate grazing angles

    Modelling X-band sea clutter at moderate grazing angles by Crisp, D.J., Kyprianou, R., Rosenberg, L., Stacy, N.J.S.

    Published in 2008 International Conference on Radar (01-09-2008)
    “…This document reports on work undertaken at DSTO towards modelling the mean ocean backscatter coefficient at low to medium grazing angles for X-band radar. The…”
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  7. 7
    Uniqueness theorems for kernel methods

    Uniqueness theorems for kernel methods by Burges, Christopher J.C., Crisp, David J.

    Published in Neurocomputing (Amsterdam) (01-09-2003)
    “…This paper has three goals: to find uniqueness theorems for some well-known kernel methods, and thereby to better understand their behavior; to derive theorems…”
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  8. 8
    Improved Data Structures for Fast Region Merging Segmentation Using a Mumford-Shah Energy Functional

    Improved Data Structures for Fast Region Merging Segmentation Using a Mumford-Shah Energy Functional by Crisp, D.J.

    “…One of the more successful approaches to image segmentation involves formulating the problem as the minimisation of a Mumford-Shah functional and then applying…”
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