Clustering correction method and system for phase unwrapping of multi-baseline interferometric synthetic aperture radar, and medium

Abstract

The invention discloses a clustering correction method, system and medium for phase unwrapping of a multi-baseline interferometric synthetic aperture radar, and the method comprises the steps: calculating the integer ambiguity number corresponding to each pixel in each interferogram according to the parameters of the multi-baseline interferometric synthetic aperture radar, and obtaining the fuzzy vector of each pixel; clustering the pixels with the same fuzzy vectors into the same class; performing class correction on the pixels in the interferogram: if the size of the interferogram is smaller than a preset size value, performing class correction on all the pixels according to the maximum class in the expansion area of the pixels; if the size of the interferogram exceeds the preset size value, judging whether the pixel needs to be corrected or not according to the density of the expansion area of the pixel, and then carrying out class correction on the pixel needing to be corrected according to the maximum class in the expansion area of the pixel. According to the invention, the accuracy and effectiveness of the pixel clustering result of the phase unwrapping of the existing multi-baseline interferometric synthetic aperture radar can be improved, and the precision of the unwrapping phase is further improved.

Description

technical field [0001] The invention belongs to the technical field of interference synthetic aperture radar, and in particular relates to a cluster correction method, system and medium for phase unwrapping of multi-baseline interference synthetic aperture radar. Background technique [0002] Interferometric synthetic aperture radar (InSAR) can obtain the elevation information of ground targets according to the absolute interferometric phase of two SAR images corresponding to the same scene, and finally can be used to obtain the digital elevation model (DEM) [1][2] . However, the InSAR system can only obtain the main value of the absolute phase, that is, the winding phase. For accurate estimation of terrain height, the absolute phase must be reconstructed by phase unwrapping (PU) [3][4] . To solve this problem, the researchers first proposed the Single Baseline Phase Unwrapping method (SBPU) [4] . For traditional SBPU, there are two unknowns in one equation, which leads...

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Problems solved by technology

[0005] However, this MBPU method based on cluster analysis still has the problem of weak robustness, and it is easy to produce wrong clustering results: (1) The PU method directly based on CRT is sensitive to phase noise, and smaller phase noise may cause larger Large unwrapping error, so the noise robustness is poor; (2) Although the CA method improves the noise robustness to a certain extent and reduces the PU time, but when the class with fewer pixels and the class with more pixels When the intercepts of the classes are very close, due to the existence of phase noise, the two classes will be merged together, resulting in wrong clustering results; (3) CANOPUS method only converts the clustering information of the pixels to be clustered by the intercept Extended to rows, columns and their intercept values, but still prone to wrong clustering results

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