• DocumentCode
    353465
  • Title

    Tie point generation from overlapping SAR image pairs by Kalman filtering

  • Author

    Loffeld, Otmar ; Knedlik, Stefan

  • Author_Institution
    Zentrum fur Sensorsyst., Siegen Univ., Germany
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    779
  • Abstract
    The paper presents a Kalman filter based approach to determine the heights of a set of tie points seen in a pair of overlapping SAR scenes which have been acquired from different flight paths. The position of registered points as well as flight path information is used to formulate a system of implicit equations which must be solved to determine the heights. The paper shows how Kalman filter techniques may be utilized to solve the outcoming system of equations in a recursive way, not only allowing to solve the system of equations but also to generate error measures in form of covariances. The paper presents the underlying framework, derives the algorithm and presents some first results obtained with airborne data from the DOSAR system
  • Keywords
    Kalman filters; airborne radar; geophysical techniques; radar theory; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); DOSAR; Kalman filter; Kalman filterin; SAR; airborne radar; algorithm; covariance; flight path; geophysical measurement technique; implicit equations; land surface topography; overlapping SAR image pair; radar remote sensing; synthetic aperture radar; terrain mapping; tie point generation; tie points height; Azimuth; Calibration; Equations; Gaussian noise; Geometry; Global Positioning System; Kalman filters; Layout; Target tracking; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.861701
  • Filename
    861701