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Quality map weighting based multi-baseline least-square phase unwinding method

A least squares, phase unwrapping technique, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation, etc. The problem of almost phase error transfer and the effect of improving the accuracy of phase unwrapping

Active Publication Date: 2019-08-09
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0004] In the face of the effects of overlapping and shadowing in the single-baseline InSAR system, and the low accuracy of phase unwrapping caused by undulating terrain, it is necessary to improve the traditional phase unwrapping algorithm. The multi-baseline InSAR phase unwrapping technology is a single-baseline InSAR The expansion of phase unwrapping technology, research on multi-baseline InSAR phase unwrapping algorithm, combined with multiple interferometric phase information with different perspectives for joint processing, can effectively expand the unambiguous elevation range of multi-baseline InSAR systems, and improve phase unwrapping in undulating terrain scenes. Accuracy, which has important application value for multi-baseline InSAR to obtain high-precision 3D information

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Embodiment Construction

[0053] The present invention can be verified by means of a simulation experiment, and all steps and conclusions are verified to be correct on the MATLAB R2017b software. The specific implementation steps are as follows:

[0054] Step 1. Initialize the parameters required for the multi-baseline InSAR least-squares phase unwrapping method based on mass map weighting:

[0055] Initialize the parameters required for the multi-baseline InSAR least-squares phase unwrapping method based on weighted quality maps, including: the number of multi-baseline InSAR wrapping phase data sets, denoted as L=5, the number of distance points of the wrapping phase, denoted as M=500 , the number of points in the azimuth direction of the winding phase, denoted as N=500, and the length of the baseline is B 1 = 3m, B 2 =7m, B 3 = 13m, B 4 =19m, B 5 = 31m, the winding phase of the first group of multi-baseline InSAR, denoted as φ l (a,b), where l=1,2,…,5, a=1,2,…,500, b=1,2,…,500, a represents the...

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Abstract

The invention discloses a quality map weighting based multi-baseline least-square phase unwinding method. According to the method, a first-order phase gradient principal value in the winding phase ofa multi-baseline InSAR is calculated, and is extended in mirror symmetry, a second-order phase gradient is calculated, a quality map is used to determine the quality of the winding phase, the windingphase as prior information is used to carry out phase compensation on residual error points in the winding phase, the second-order phase gradient of the winding phase is optimized and weighted on thebasis of the quality map, and multi-baseline least square phase unwinding is carried out to obtain the unwinding phase. Multi-baseline measurement enriches interference phase information of the targetscene, the problem in transferring the phase error of a residual error point in a traditional single-baseline least square phase unwinding algorithm is solved, and the phase unwinding precision is improved.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to the technical field of phase unwrapping in elevation surveying and mapping of Interferometric Synthetic Aperture Radar (InSAR). Background technique [0002] Interferometric Synthetic Aperture Radar (InSAR) technology was developed in the early 1970s. It combines radio interferometry technology and SAR imaging technology, and can perform all-day and all-weather interferometry on large-area terrain. At the same time, the phase information of the SAR image can be used to extract the three-dimensional information of the surface. The working principle of InSAR is to obtain the SAR image pair of the same scene on the ground through simultaneous observation of two antennas or different passage observations of a single antenna, extract the interferometric phase information of the SAR image, and then combine the geometric relationship of the imaging scene to invert the digital elevation mo...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/41
CPCG01S13/9023G01S7/41
Inventor 张晓玲刘植党欢张星月韦顺军师君范昕玥
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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