Estimation method of interferometric phase of interferometric synthetic aperture radar (InSAR) based on correlation-weighted united subspace projection

Abstract

An estimation method of interferometric phase of interferometric synthetic aperture radar (InSAR) based on correlation-weighted united subspace projection includes using a traditional correlation method with a main image serving as a reference to perform coarse rectification on an auxiliary image and obtain a coarse rectification image; forming a correlation-weighted observation vector by aid of the main image and the coarse rectification image; calculating correlation-weighted united covariance matrix and the correlation-weighted united correlation function matrix; calculating noise subspace and signal subspace; using the noise subspace to construct a cost function, and estimating the interferometric phase according to the cost function. On the condition that the image rectification accuracy of a synthetic aperture radar (SAR) is poor, the estimation method of interferometric phase of interferometric synthetic aperture radar (InSAR) based on correlation-weighted united subspace projection can be used for accurately estimating the interferometric phase among the corresponding pixels of the images.

Description

technical field [0001] The invention belongs to the technical field of radar detection, and in particular relates to an InSAR interferometric phase estimation method based on correlation weighted joint subspace projection, which can accurately estimate the corresponding pixel distance under the condition of poor registration accuracy of synthetic aperture radar SAR images. the interference phase. Background technique [0002] Interferometric synthetic aperture radar InSAR is an important remote sensing technology for obtaining ground digital elevation maps. The three key processing steps in InSAR technology are SAR image registration, interferometric phase estimation (interferometric phase noise filtering and phase unwrapping). If the accuracy of image registration is poor, it will make it difficult to obtain satisfactory results in the subsequent phase unwrapping. Because the performance of traditional phase unwrapping methods, such as branch cutting method, region growth...

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Problems solved by technology

[0006] In order to solve the above problems, the object of the present invention is to provide an InSAR interferometric phase estimation method based on correlation weighted joint subspace projection, to solve the problem that the interferometric phase between corresponding pixels cannot be accurately estimated under the condition of poor SAR image registration accuracy

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