Two Dimensional Kalman Filter Approach for Phase Unwrapping of TerraSAR-X Data
Conference: EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar
06/02/2008 - 06/05/2008 at Friedrichshafen, Germany
Proceedings: EUSAR 2008
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Nies, Holger; Loffeld, Otmar; Wang, Yu (Center for Sensorsystems (ZESS), University of Siegen, Germany)
Against the background of availableness of good resolved SAR image pairs which come from the German radar satellite TerraSAR-X, we investigate in solving the problem of unwrapping the phase image obtained from a noisy interferometric SAR (InSAR) image. A Kalman filter based data fusion approach to unwrap and simultaneously filter the phases of interferometric SAR images is developed. The data fusion concept exploits phase information, extracted from the complex interferogram rather than from the phase image and fuses that information with phase slope information extracted from the power spectral density of the interferogram.