nitary ESPRIT-Based Phase Estimation for Polarimetric SAR Interferometry

At present, polarimetric SAR interferometry has been a new technology of measuring terrain parameters. Among the known methods of extracting interferometric phase, some methods developed from spatial spectrum estimation, such as MUSIC or TLS-ESPRIT algorithm, are being perfected. But using these methods we can not get higher phase precision due to few observation data with the SAR signals. An interferometric phase estimation method based on unitary ESPRIT can improve estimation precision by using the plural observation data and its conjugated data. In this paper, the algorithm is proposed and described in detail. Using SIR-C/X-SAR L band data, its effectiveness is tested