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Target detection method for polarimetric interferometry synthetic aperture radar on basis of eigenvalue analysis

A technique of interferometric synthetic aperture and eigenvalue analysis, applied in the field of remote sensing, can solve problems such as the inability to realize artificial target detection and recognition

Inactive Publication Date: 2012-11-21
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a polarization interference synthetic aperture radar target detection method based on eigenvalue analysis to solve the problem that traditional full polarization and single polarization synthetic aperture radars cannot realize artificial targets under the background of strong natural ground clutter. The problem of detection and identification

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  • Target detection method for polarimetric interferometry synthetic aperture radar on basis of eigenvalue analysis
  • Target detection method for polarimetric interferometry synthetic aperture radar on basis of eigenvalue analysis
  • Target detection method for polarimetric interferometry synthetic aperture radar on basis of eigenvalue analysis

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specific Embodiment approach 1

[0022] Specific embodiment one: the polarization interference synthetic aperture radar target detection method based on eigenvalue analysis of this embodiment, the method is realized by the following steps:

[0023] Step 1: Collect images through the polarization interference SAR system to obtain the image data to be processed, and read in the data of the polarization interference SAR image according to the image data format (hh channel image such as figure 1 shown);

[0024] Step 2: Image preprocessing: filter and register the polarimetric interferometric SAR image read in step 1 to obtain the polarization scattering vector;

[0025] Step 3: Calculate the eigenvalues ​​and Jordan canonical form of the simplified polarization interference coherence matrix according to the polarization scattering vector obtained in step 2 (see "Matrix Analysis Tutorial", page 68, edited by Dong Zengfu, Harbin Institute of Technology Press, April 2005, second version), calculate the coherence c...

specific Embodiment approach 2

[0038] Specific embodiment two: In step three B of this embodiment, the eigenvalue decomposition of the simplified polarization interference coherence matrix is ​​performed, and similar diagonalization is performed to obtain the eigenvalue and the optimized coherence coefficient based on the eigenvalue, the specific eigenvalue, optimization The process of coherence coefficient calculation and matrix similar diagonalization technology is as follows:

[0039] The eigenvalues ​​of a matrix can fully and accurately characterize the characteristics of the matrix, which is an important means and tool for matrix analysis. Therefore, solving the eigenvalues ​​of the simplified polarization interference coherence matrix is ​​used for the extraction and analysis of ground features based on the simplified polarization interference coherence matrix; The simplified polarization interference coherence matrix is ​​a 3×3 complex matrix, and its three complex eigenvalues ​​and corresponding thr...

specific Embodiment approach 3

[0060] Specific embodiment three: in the step three C of the present embodiment, according to the eigenvalues ​​obtained in the step three B and the optimized coherence coefficients, the statistical properties of the eigenvalues ​​and the coherence coefficients of the selected three different surface object samples are analyzed as follows:

[0061] The characteristic values ​​of the above three different ground object samples are used as coordinates to form a feature space or plane, and the distribution of the above three different ground object sample points in the feature space or plane is counted, and the distribution of the above three samples in the feature space or plane is analyzed. Separability, statistically draw three coherence coefficient distribution probability density maps of three different ground object samples respectively, analyze the difference of the three samples on the coherence coefficient probability density map through the three coherence coefficient dis...

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Abstract

The invention discloses a target detection method for a polarimetric interferometry synthetic aperture radar on the basis of eigenvalue analysis, relating to a target detection method for a polarimetric interferometry synthetic aperture radar so as to solve the problem that a ground object can not be detected and identified through the traditional complete polarization and the single polarizationsynthetic aperture radars under the background of the stronger natural ground object clutter. The target detection method comprises the following steps of: reading in the data of a polarimetric interferometry synthetic aperture radar image according to an image data format; preprocessing the polarimetric interferometry synthetic aperture radar image; obtaining a simplified polarimetric interferometry matrix by two groups of polarized scattering vectors, and solving the characteristic value of a matrix; simplifying the matrix by similar diagonalization and a Jordan standard form to obtain an optimized scattering vector-based correlation coefficient; analyzing an eigenvalue and the statics characteristic of the correlation coefficient by selecting different samples; and constructing a target detector by the obtained statics characteristic to detect an interested target to obtain a result. The target detection method is used for the target detection for the polarimetric interferometry synthetic aperture radar.

Description

technical field [0001] The invention relates to a polarization interference synthetic aperture radar target detection method, which belongs to the technical field of remote sensing. Background technique [0002] Synthetic aperture radar, as the only remote sensing method capable of all-weather and all-weather observation and imaging of the earth, plays an irreplaceable role in this field, and polarimetric interferometric synthetic aperture radar (PolInSAR) can analyze ground objects in detail in terms of geometry, structure, The combination of pointing and material composition with coherence, elevation (altitude) and other information has greatly improved the ability of synthetic aperture radar to extract and analyze ground features, and has broad application prospects in the field of remote sensing. [0003] At present, my country's economy is developing rapidly and the process of urbanization is accelerating. The research and analysis of emerging towns and urban-rural frin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S13/90
Inventor 邹斌何鹏张腊梅蔡红军芦达
Owner HARBIN INST OF TECH
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