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Performance Evaluation of Multivariate Interpolation Methods for Scattered Data in Geoscience Applications


Reference:

Foster, M. P. and Evans, A. N., 2008. Performance Evaluation of Multivariate Interpolation Methods for Scattered Data in Geoscience Applications. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008), 2008-07-07 - 2008-07-11, Boston, MA.

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    Official URL:

    http://dx.doi.org/10.1109/IGARSS.2008.4779784

    Abstract

    Interpolation methods are widely used in geoscience applications to reconstruct multivariate data from irregular samples. This paper describes a quantitative methodology for assessing the performance of various state-of-the-art interpolation methods. The methodology consists of simulation-validation and cross-validation using simulated and real data respectively, and has recently been applied to study the reconstruction of total electron content maps of the ionosphere. These two approaches are described and a study of the various artefacts associated with different interpolation methods also presented, including their origins and typical locations. Finally, the use of the statistical moments of error histograms as a method of evaluating techniques for biases and skew is described, as well as providing confidence bounds on error values. The methodology and artefact analysis should be of use to anyone who uses multivariate interpolation methods

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsFoster, M. P.and Evans, A. N.
    DOI10.1109/IGARSS.2008.4779784
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Publisher StatementIGARSSJul2008_Foster.pdf: ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    RefereedYes
    StatusPublished
    ID Code14911

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