Refined estimation of time-varying baseline errors in airborne SAR interferometry
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/2117
Tipus de documentArticle
Data publicació2006-01-31
EditorIEEE
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
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.
CitacióReigber, A.; Prats, P.; Mallorqui, J. J. Refined estimation of time-varying baseline errors in airborne SAR interferometry. IEEE Geoscience and remote sensing letters, 2006, vol. 3, núm. 3, p. 145-149.
ISSN1545-598X
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
refined estimation time01576708.pdf | 1,157Mb | Visualitza/Obre |