Title :
A novel approach to accurate baseline estimation
Author :
Knedlik, Stefan ; Loffeld, Otmar ; Hein, Achim ; Arndt, Christoph
Author_Institution :
Centre for Sensorsyst., Siegen Univ., Germany
Abstract :
In this paper a method for baseline estimation is presented that is based on a Kalman filter and uses co-registration parameters of the interferometric SAR images. It comes along with the following advantages: No need for corner reflectors. No restriction to flat terrain in the scenes. Independence of orbit data. Moreover, it allows the determination of time varying baseline parameters and is independent of the accurate knowledge of the height of tie points
Keywords :
Kalman filters; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR; Kalman filter; accurate baseline estimation; co-registration parameters; geophysical measurement technique; interferometric SAR; land surface; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; time varying baseline parameters; Argon; Azimuth; Erbium; Geometry; Layout; Noise measurement; Pixel; State estimation; State-space methods; Synthetic aperture radar interferometry;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.773463
