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Please use this identifier to cite or link to this item: http://hdl.handle.net/2117/2117

Title: Refined estimation of time-varying baseline errors in airborne SAR interferometry
Authors: Reigber, Andreas
Prats Iraola, Pau
Mallorquí Franquet, Jordi Joan
Other authors: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Keywords: Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Radiocomunicació i exploració electromagnètica::Teledetecció
Remote sensing
Earth sciences
Radar Equipment and supplies
Image processing
Boundary layer (Meteorology)
geophysical signal processing
geophysical techniques
motion compensation
remote sensing by radar
synthetic aperture radar
SAR focusing
airborne SAR data
airborne SAR interferometry
digital elevation model
motion compensation
multisquint processing approach
navigation system
repeat-pass systems
residual motion errors
synthetic aperture radar
time-varying baseline errors
Sensors remots
Ciències de la terra
Radar
Imatge -- Processament
Capa límit (Meteorologia)
Publisher: IEEE
Abstract: The processing of airborne synthetic aperture radar (SAR) data requires a precise compensation of the deviations of the platform movement from a straight line. This is usually carried out by recording the trajectory with a high-precision navigation system and correcting them during SAR focusing. However, due to the lack of accuracy in current navigation systems, residual motion errors persist in the images. Such residual motion errors are mainly noticeable in repeat-pass systems, where they are causing time-varying baseline errors, visible as artefacts in the derived phase maps. In this letter, a refined method for the estimation of time-varying baseline errors is presented. An improved multisquint processing approach is used for obtaining robust estimates of higher order baseline errors over the entire scene, even if parts of the scene are heavily decorrelated. In a subsequent step, the proposed method incorporates an external digital elevation model for detection of linear and constant components of the baseline error along azimuth. Calibration targets in the scene are not necessary.
Peer reviewed
Appears in Collections:Documents de recerca

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