Multi- baseline interference synthetic aperture radar interference phase unwrapping method

Abstract

The present invention discloses an expansion method of an interference phase of multi-baseline interference synthetic aperture radar. The process is that a SAR imaging processing is carried out respectively to M echo data received by a satellite; any one of the images after the SAR imaging processing is selected as a main image; by using the main image as a reference, a rough registration is carried out respectively to other images through a correlation method so as to obtain M-1 roughly-registered SAR images; A roughly-registered SAR image is used for constructing an optimum weighted joint data vector jx (i, wopt); a covariance matrix Cov<jx> (i, wopt) is estimated according to the optimum weighted joint data vector and resolved characteristically so as to obtain a cost function; the interference phase corresponding to the minimum value of the output power of the cost function is used as the deployment result of the interference phase; the above-mentioned relevant process is repeated respectively to each of pixels to obtain the expansion result of the interference phase of the entire image. The expansion method disclosed by the present invention has the advantages of small calculating amount and accurate expansion of the interference phase when the SAR image registration accuracy is bad, thereby being used for the reconstruction of a ground three-dimensional terrain with high resolution and high precision and the detection of a ground moving target.

Description

technical field [0001] The invention relates to the technical field of radar detection, and is a multi-baseline interferometric synthetic aperture radar interferometric phase expansion method based on optimized echo data, which can accurately expand the corresponding pixels under the condition that the synthetic aperture radar SAR image registration accuracy is very poor. The interferometric phase can realize high-resolution, high-precision three-dimensional terrain reconstruction and ground moving target detection. Background technique: [0002] Interferometric synthetic aperture radar InSAR is an important remote sensing technology, which can realize all-weather high spatial resolution, high-precision three-dimensional mapping and ground moving target detection. Interferometric phase unwrapping is one of the important steps in InSAR processing. Traditional InSAR interferometric phase unwrapping methods, such as least squares LS method, region growing method and branch cutt...

AI Technical Summary

Problems solved by technology

However, when estimating the noise subspace, it is necessary to manually set the threshold for judgment

"InSAR interferometric phase estimation based on adaptive image registration based on optimized echo data" published by Mao Zhijie et al. in the Journal of Radio Science, proposed an interferometric phase estimation method based on a weighted joint single-pixel model, although it is not necessary to determine the noise factor when estimating the interferometric phase Space dimension, but when estimating the interferometric phase, the direction of the registration error needs to be determined first, and the optimal weight needs to be searched when determining the optimal weight, so the amount of calculation is large

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