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25 September 1997 New results in calculating the unambiguous phase for SAR interferometry
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Proceedings Volume 3100, Sensors, Sensor Systems, and Sensor Data Processing; (1997)
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany
The paper presents a phase unwrapping algorithm based on a linearized extended Kalman filter. The Kalman filter exploits a so called `Basic-Slope Model', enabling the filter to incorporate additional information about the mean local phase variation. This phase variation will be estimated directly from the sample frequency spectrum of the interferogram by a local slope estimator. Additionally, the local slope estimator calculates the error variance of the estimated phase variation by using Fisher's information. The Kalman filter then fuses the information directly obtained from real and imaginary part of the interferogram with information from the local slope estimator. The paper outlines the principle operation of the phase unwrapping algorithm and explains the cooperation of the Extended Kalman filter with the local slope estimator. At last the efficiency of this phase unwrapping algorithm will be shown by simulations and real InSAR images.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rainer Kraemer and Otmar Loffeld "New results in calculating the unambiguous phase for SAR interferometry", Proc. SPIE 3100, Sensors, Sensor Systems, and Sensor Data Processing, (25 September 1997);

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