The scene matching between side-looking real aperture radar (SLAR) image and synthetic aperture radar (SAR) image is influenced by the terrain height variance because radar imaging in the direction of slanting range. The match algorithm investigated on this paper between real aperture radar image and SAR is based on normalize cross correlation match. In this paper, through analysis the geometric model of side-looking real aperture radar imaging, we propose a method of vertical projection adjust the geometric distortion of side-looking real aperture radar image, and discuss the relation between match performance and the height difference in reference region, which is useful for the evaluation of radar image matching reliability. The simulation experiments of real aperture radar imaging at different altitude proves that the matching precision and robust are improved distinctly after the vertical projection adjustment of the real aperture radar image geometric distortion.


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    Titel :

    Matching between SLAR and SAR images based on vertical projection adjust


    Beteiligte:
    Yang, Weidong (Autor:in) / Zhang, Tianxu (Autor:in) / Wang, Xinsai (Autor:in)

    Kongress:

    Image Matching and Analysis ; 2001 ; Wuhan,China


    Erschienen in:

    Erscheinungsdatum :

    2001-09-20





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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