Preprocessing and adaptive genetic simulated annealing algorithm-based phase unwrapping method

Abstract

The invention discloses a preprocessing and adaptive genetic simulated annealing algorithm-based phase unwrapping method. The method includes the following steps that: adjacent dipole pair residues within a distance threshold value R are pre-processed; the residues are optimized and combined through adopting an adaptive genetic simulated annealing algorithm; and each pair of combined positive and negative residues are connected together through branch-cut lines in an interferometric phase image, and the branch-cut lines are bypassed through using a flood-fill method, so that phase unwrapping can be performed. According to the preprocessing and adaptive genetic simulated annealing algorithm-based phase unwrapping method of the invention, a part of dipole pair residues are pre-processed through a pre-processing method of the variable distance threshold value R, so that the lengths of the branch-cut lines can be formed; the residues are optimized and combined through the adaptive genetic simulated annealing algorithm, so that the total length of the branch-cut lines can be formed, and closed regions are few, and total computation time is little; and since the set branch-cut lines are short, accumulative errors around the branch-cut lines can be decreased when unwrapping is performed, and therefore, unwrapping accuracy can be improved, and the number of unwrappable islands can be decreased.

Description

Technical field [0001] The invention relates to the technical field of INSAR phase unwrapping, in particular to a phase unwrapping method based on preprocessing and adaptive genetic simulated annealing algorithm. Background technique [0002] Interferometric Synthetic Aperture Radar (INSAR) is a high-precision remote sensing measurement technology. Compared with traditional optical remote sensing, it has all-weather, all-weather, low-cost advantages. INSAR uses the phase difference ψ of two or more SAR images in the same area to obtain the Digital Elevation Model (DEM) and deformation of the ground. However, in the actual data processing process, the extracted phase It is obtained by modulating ψ to 2π. Its value range is (-π, π], which is generally called the winding phase. The height of the target on the ground is proportional to the true phase difference ψ. Therefore, only to retrieve The lost 2nπ can restore the true phase difference ψ, and obtain accurate ground elevation ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems mentioned in the above background technology part by a phase unwrapping method based on preprocessing and adaptive genetic simulated annealing algorithm

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