Interferometric Synthetic Aperture Radar Phase Unwrapping Algorithm

InSAR can extract 3D ground information by using phase information of SAR data. It is mainly used to survey ground elevation and monitor its deformation. This technology has attracted world-wide attention and research.This dissertation makes research on the basic methods of InSAR processing, focusing on the theoretical and technological elements of various phase unwrapping algorithm. The primary points of view put forward and discussed and the basic research findings are as follows:1. When researching basic InSAR processing method, the author uses orbit parameter to carry out gross registration, baseline estimation and flat removal, and achieves satisfactory results. When carrying out coefficient matching, a matching strategy of acclimatizing itself to switching window is put forward to guarantee the quality of matching and enhance its efficiency. Through several experiments of filtering for interference phase image, the author proposes the viewpoint that the number of residual error point is not the only standard to estimate phase filtering effect.2. The dissertation makes a profound research on the difficulty of phase unwrapping. The author divides phase unwrapping algorithm into four kinds according to its characteristics, introduces every kind of algorithm and carries out phase unwrapping experiment of real data using Branch-cut, Basic Repeatedly method, Multi-grid method, DCT/FFT Least-squares, Minimum Cost Network Flow and Fringe Detection. Finally, the strengths and weaknesses of every algorithm are analyzed and compared.3. Through the digital simulation of elevation, the author holds that the baseline angle of inclination measurement error is the important factor when designing Space-Bome InSAR system.4. Based on the above-mentioned theoretical and practical research, a set of practical experiment system is established to realize the basic functions of InSAR processing.