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Algorithms and Implementation of InSAR Interferometric Phase Unwrapping

Author: XiongYong
Tutor: WangLuCai
School: Hunan Normal University
Course: Circuits and Systems
Keywords: InSAR Image registration Flat Earth Denoising Phase Unwrapping
CLC: TN958
Type: Master's thesis
Year: 2011
Downloads: 146
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Abstract


Interferometric synthetic aperture radar (InSAR) imaging technology through two antennas or two nearly parallel observation, get some perspective coherence of the two single-look complex images in the same area on the ground, according to the extract phase information access to the surface of the three-dimensional information and change information, has all-day, all-weather access to a large area digital elevation image features. Has important applications in high-precision topographic mapping, surface deformation monitoring, polar ice research. The paper analyzes the characteristics of the main and auxiliary image InSAR data, given the technology and processing methods to improve the coherence of the primary and secondary image and improve image resolution theory. Analysis the InSAR phase diagram in noise characteristics, given a new filtering effect and appropriate filtering accuracy evaluation program. Handicap for the residue in the phase diagram, the ground effect causes and effects, and reduce residual almost eliminate the number of ground effect. The paper focuses on the InSAR interferometric phase unwrapping algorithms, and procedures to achieve the branch-cut method, quality boot CLC, based on FFT and DCT unweighted least-squares method based on the minimum network cost flow phase unwrapping, to obtain the fairly good results. Does not cause the characteristics of propagation of errors when using phase Expand integral bypass branch tangent punctate discontinuous the region detecting generate branch tangent the bypass branch tangent integral unwrapping, but the cause for a large number of poles is divided into a branch tangent independent region can not be unwrapping. The coherence of the main and auxiliary image quality guide Figure Pictured phase unwrapping, gradually extended to the area of ??low-quality data from high-quality phase data points from more than one area at the same time extended unwrapping. Through FFT and DCT mathematical procedures, establish a discrete Poisson function optimization ideas, seeking optimal unwrapping results in the least squares sense. Based on the minimum network cost flow algorithm is used in operations research in the theory, the solution process is transformed into a network flow minimization problem, phase unwrapping. Finally, developed in accordance with the principles of object-oriented programming in MATLAB platform complete satellite image processing system, the system around the .001 data file uncorrected data from the satellite to the digital elevation information, including open data module, conversion data module read the satellite parameter module, open the Image module, the image coarse and fine registration module, phase unwrapping module, image filtering module generated DEM Figure module help module module. The system is structured, structured, runs well, has been the registration of the software with the right of the copyright bureau.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar: institutional sub-
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