• DocumentCode
    779692
  • Title

    Feature-Independent Aperture Evaluator for the Curvilinear SAR

  • Author

    Su, Zhigang ; Peng, Yingning ; Wang, Xiutan

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • Volume
    4
  • Issue
    2
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    Curvilinear synthetic aperture radar (SAR), as a more practicable 3-D SAR imaging system, utilizes parametric target feature estimates extracted from the received data to reconstruct the target image. The reconstructed image quality is then impacted by the estimation accuracy of the features. In this letter, through discussing the correlation between the system parameters and the estimation performance of the curvilinear SAR, a conclusion can be drawn on how the overall location accuracy of a target is determined by the correlation between the azimuth and elevation coordinates of the flight path, compactly characterizing the curvilinear aperture. Consequently, a new index, determined only with the aperture parameters, is proposed as an aperture evaluator, which is referred to as the feature-independent aperture evaluator (FAE). FAE can be used for guiding the operational aperture design
  • Keywords
    feature extraction; geophysical signal processing; geophysical techniques; image reconstruction; radar imaging; remote sensing by radar; stereo image processing; synthetic aperture radar; target tracking; 3D SAR imaging system; curvilinear synthetic aperture radar; feature extraction; feature-independent aperture evaluator; image quality; image reconstruction; parametric target feature estimates; Azimuth; Data mining; Feature extraction; Geometry; Image quality; Image reconstruction; Radar polarimetry; Radar scattering; Scattering parameters; Synthetic aperture radar; Aperture evaluation; curvilinear synthetic aperture; feature extraction; synthetic aperture radar (SAR); three-dimensional target images;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2006.888108
  • Filename
    4156172