• DocumentCode
    787961
  • Title

    The Recognition of Extended Targets: SAR Images for Level And Hilly Terrain

  • Author

    Stiles, Josephine Abbott ; Frost, Victor S. ; Holtzman, Julian C. ; Shanmugam, K.S.

  • Author_Institution
    Remote Sensing Laboratory, University of Kansas Center for Research, Inc., Lawrence, KS 66045
  • Issue
    2
  • fYear
    1982
  • fDate
    4/1/1982 12:00:00 AM
  • Firstpage
    205
  • Lastpage
    211
  • Abstract
    An experiment was performed using radar image simulation techniques to determine what a SAR image would look like for a collection of area extensive targets, first with flat underlying terrain and second, in the presence of moderate relief. Although compression, layover, and shadow are well known from the one-dimensional geometry analyses, it has not been previously demonstrated in a pictorial fashion what happens to the appearance of the same controlled reflectivity pattern, for level and hilly ground. It is not surprising to radargrammetrists that even modest elevation changes seriously affect the detection and recognition of boundaries and shapes. The image results clearly demonstrate these effects, and are valuable for many researchers who have previously used, or are just beginning to apply SAR imagery to crops and soils, minerals, and water resources assessment, etc. This research was performed during the course of an investigation to establish the performance of the Seasat-A SAR, in terms of user-oriented features, thus the radar system model and geometry are pertinent to that sensor, although the results can be applied to radar imaging in general. A review of range perspective imaging is included, since information extraction from radar imagery necessitates the knowledge of geometry/propagation effects.
  • Keywords
    Geometry; Image coding; Image recognition; Pattern analysis; Radar detection; Radar imaging; Reflectivity; Shape; Synthetic aperture radar; Target recognition;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.1982.350400
  • Filename
    4157280