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Adaptive high-precision phase estimation method for interferometric SAR (synthetic aperture radar)

A phase estimation, high-precision technology, which is used in calculations, radio wave reflection/re-radiation, image data processing, etc. question

Inactive Publication Date: 2015-01-07
UNIV OF ELECTRONICS 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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  • Adaptive high-precision phase estimation method for interferometric SAR (synthetic aperture radar)
  • Adaptive high-precision phase estimation method for interferometric SAR (synthetic aperture radar)
  • Adaptive high-precision phase estimation method for interferometric SAR (synthetic aperture radar)

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Embodiment Construction

[0094] 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:

[0095] Step 1. Use the coherence coefficient method to perform coarse registration of InSAR images:

[0096] 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 for 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 18 columns to the right 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.

[0097] Step 2, establish the Wiener filter signal model:

[0098] Take the main image S 1 The pixel point i of is used as the required signal of the filter...

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Abstract

The invention discloses an adaptive high-precision interferometric SAR phase estimation method, which combines Wiener filter theory to construct an optimal weighted vector, and obtains signal subspace and noise subspace by eigendecomposing the optimal covariance matrix formed by it , make full use of the coherence information of the corresponding pixel pair and its adjacent pixels, and construct the spatial spectral function according to the orthogonality of the signal subspace and the noise subspace in the MUSIC algorithm, and accurately estimate the interference phase between corresponding pixels through spectral peak search. It does not need to determine the magnitude and direction of the registration error to obtain the optimal weight, but only uses the Wiener filter to obtain the optimal weight, thus solving the problem of large amount of computation in traditional InSAR interferometric phase estimation. The invention is applicable to the fields of accurate inversion of surface parameters of InSAR complex scenes 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G01S13/90G01S7/02
Inventor 张晓玲陈钦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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