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An Adaptive High Precision Interferometric SAR Phase Estimation Method

A phase estimation, high-precision technology, which is used in calculations, reflection/re-radiation of radio waves, image data processing, etc., and can solve the problems of large amount of calculation, large amount of calculation of InSAR interferometric phase estimation, and low accuracy of InSAR interferometric phase estimation.

Inactive Publication Date: 2011-12-07
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0005] The present invention provides an adaptive high-precision interferometric SAR phase estimation method in order to overcome the problems of low accuracy of InSAR interferometric phase estimation and large amount of computation
This method does not need to first determine the size and direction of the registration error to obtain the optimal weight, but only uses the Wiener filter to obtain the optimal weight, which solves the problem of large amount of computation in InSAR interferometric phase estimation.

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  • An Adaptive High Precision Interferometric SAR Phase Estimation Method
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  • An Adaptive High Precision Interferometric SAR Phase Estimation Method

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Embodiment Construction

[0096] The present invention mainly uses measured data for verification, and all steps and conclusions are verified correctly on VC++ and MATLAB7.0. The specific implementation steps are as follows:

[0097] Step 1. Use the coherence coefficient method to perform coarse registration of InSAR images:

[0098] Read the main and secondary images, the main image is denoted as S 1 ; The secondary image is denoted as S′ 2 . Using the maximum coherence coefficient method to process the secondary image S′ 2 Perform rough registration to obtain the error offset position of the secondary image as (30, 18), and move all pixels of the secondary image down 30 rows and to the right by 18 columns to obtain the coarse registration image S of the secondary image 2 . After registration, the size of the primary and secondary images is 417×430.

[0099] Step 2, establish the Wiener filter signal model:

[0100] Take the main image S 1 The pixel point i of is used as the required signal of...

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Abstract

The invention discloses an adaptive high-precision phase estimation method for an interferometric SAR, comprising the following steps of: structuring optimum weight vectors in combination with a Wiener filter theory, performing an eigen decomposition on an optimum covariance matrix composed of the optimum weight vectors to obtain a signal subspace and a noise subspace, adequately utilizing a corresponding pixel pair and the coherent information of the neighboring pixels thereof to structure a space spectrum function according to the orthogonality of the signal subspace and the noise subspace in a MUSIC (multiple signal classification) algorithm, and precisely estimating the interferometric phase between the corresponding pixels via a spectral peak searching. The optimum weight is obtained by only a Wiener filter without the need to determine a registration error and the direction thereof, thereby solving the problem of large computational burden in the traditional InSAR (interferometric synthetic aperture radar) interferometric phase estimation. The adaptive high-precision phase estimation method for the interferometric SAR disclosed by the invention is adaptive to the field of accurate surface parameter inversion of InSAR complex scene and the like.

Description

Technical field: [0001] The technical invention belongs to the technical field of radar, and in particular relates to the technical field of interferometric synthetic aperture radar (InSAR) image registration. Background technique: [0002] Interferometric Synthetic Aperture Radar (InSAR) technology is an important direction of SAR remote sensing technology development at present, and it can acquire large-area digital elevation images all-weather and all-weather. It not only has the sensitivity to the spatial distribution and height of scatterers, but also has the ability of low cost, continuity and long-range remote sensing detection. InSAR can extract the spatial three-dimensional structural feature information of the observed object, which provides the possibility for microwave quantitative remote sensing, high-precision digital elevation information and the extraction of subtle deformation information of the observed object. [0003] The three key processing steps in in...

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Application Information

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IPC IPC(8): G06T7/00G01S13/90G01S7/02
Inventor 张晓玲陈钦
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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