Normalization of feature distributions for linear-Quadratic fusion in landmine detection using gpr

V Kovalenko, A Yarovoy, LP Ligthart

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Abstract

    Successful detection of antipersonnel landmines often requires decision making on the basis of more than one decisive feature. The fusion of the available features should be done in a statistically optimal way. Theoretically this might be achieved by Bayesian-based criteria. However application of Bayes' criteria in general form is computionally difficult and may lead to overtraining of classification algorithms. To avoid this situation linear and quadratic fusion rules are often used in practice. However these rules produce optimal results only when the decisive feautures are normally distributed, which is not always guaranteed in practice. To improve the performance of the linear and quadratic detectors we suggest a normalization of the decisive features by means of Johnson's transform prior to the fusion. We describe the normalization algorithm and demonstrate that it improves performance of the linear and quadratic classifiers. The performance is judged in terms of the ROC curves.
    Original languageUndefined/Unknown
    Title of host publicationProceedings of the 3rd European Radar Conference and Proceedings of the European Microwave Week 2006
    Editors s.n.
    Place of PublicationManchester
    PublisherHorizon House
    Pages257-260
    Number of pages4
    ISBN (Print)2960055179
    Publication statusPublished - 2006
    Event3rd European Radar Conference and Proceedings of the European Microwave Week 2006 - Manchester, UK, Manchester, United Kingdom
    Duration: 13 May 200615 Sep 2006

    Publication series

    Name
    PublisherHorizon House

    Conference

    Conference3rd European Radar Conference and Proceedings of the European Microwave Week 2006
    CountryUnited Kingdom
    CityManchester
    Period13/05/0615/09/06

    Keywords

    • conference contrib. refereed
    • Conf.proc. > 3 pag

    Cite this

    Kovalenko, V., Yarovoy, A., & Ligthart, LP. (2006). Normalization of feature distributions for linear-Quadratic fusion in landmine detection using gpr. In s.n. (Ed.), Proceedings of the 3rd European Radar Conference and Proceedings of the European Microwave Week 2006 (pp. 257-260). Horizon House.