Phase unwrapping method of mimo InSAR based on integer programming model

Abstract

The invention discloses a MIMO InSAR phase unwrapping method based on an integer programming model. The main steps are as follows: (1) constructing an integer programming model according to the correspondence between the baseline ratio, the wavelength ratio, and the elevation phase; (2) adopting branch Delimiting method, to find the minimum solution k that satisfies the integer programming model i (i=1,2,3,...,N 2 ); (3) Calculate the defuzzification value dΦ of the interferometric phase differential at the corresponding pixel of the corresponding interferogram i ; (4) Differentially decompose the fuzzy value dΦ of the interferometric phase at all pixels in each interferogram with a given phase unwrapping seed i , according to a certain path integration, the unwrapping result Φ of each interferogram is obtained i (x,y). The present invention constructs the objective function and its constraint conditions by analyzing the relationship between the interferometric phase, baseline and frequency, transforms the MIMO InSAR phase unwrapping problem into a linear programming expression and optimal value solution problem, and realizes the precise and robust MIMO InSAR interferometric phase Unwrapping improves its height measurement performance and ability to survey and map complex terrain.

Description

technical field [0001] The invention relates to a MIMO InSAR phase unwrapping method based on an integer programming model, and belongs to the technical field of radar interferometry. Background technique [0002] Synthetic Aperture Radar (SAR) transmits broadband signals and uses synthetic aperture technology to project the three-dimensional information of space targets onto the azimuth-distance plane to obtain two-dimensional high-resolution images. The Synthetic Aperture Radar Interferometry (Interferometric Synthetic ApertureRadar, InSAR) technology developed on this basis can quickly obtain digital elevation models all day and all day long, and map and update topographic maps in areas seriously affected by clouds, rain and haze all year round. has important application value. [0003] Traditional single-baseline, single-frequency InSAR systems are difficult to play a role in the surveying and mapping of complex terrain areas. Limited by system complexity and cost facto...

AI Technical Summary

Problems solved by technology

[0003] The traditional single-baseline, single-frequency InSAR system is difficult to play a role in the surveying and mapping of complex terrain areas. Limited by system complexity and cost factors, the number of independent observation channels that the existing multi-channel InSAR system can provide is also limited

[0004] In order to solve this problem, a MIMO InSAR phase unwrapping method based on an integer programming model is proposed. By using the MIMO InSAR phase unwrapping technology, the number of independent observation channels of the InSAR system can be greatly increased without increasing the operating frequency or observation array elements. , making full use of the high precision of high-frequency interferograms and the ease of solution of low-frequency interferograms, solving the problem of unwrapping spectrum aliasing and phase undersampling, improving its elevation measurement performance and mapping ability for complex terrain

Images