In this study, a semi-automated registration methodology that can be adapted to BILSAT-1 XS images is proposed. Orthorectified and geodetically accurate global land datasets generated from the Landsat ETM+ images are used as the reference sources. Three different test sites are employed to test the accuracies of the registration. The accuracies of the registration were assessed using Independent Check Points (ICPs) which were manually collected from 1:25000-scale digital topographic maps of Turkey. The computed overall GCP accuracy was found to be better than 0.5 pixels. The registration of BILSAT-1 XS images using panchromatic and green layers of Landsat ETM+ datasets yielded overall ICP RMS errors of ± 1.03 and ± 1.08 pixels, respectively.


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    Titel :

    Semi-Automated Registration of BILSAT-1 XS Imagery via Global Orthorectified Landsat ETM+ Data Set


    Beteiligte:
    Ok, Ali Ozguin (Autor:in)


    Erscheinungsdatum :

    01.06.2007


    Format / Umfang :

    645832 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch