Multi-component decomposition method used for polarization synthetic aperture radar image

A synthetic aperture radar, multi-component technology, applied in the direction of utilizing re-radiation, reflection/re-radiation of radio waves, measuring devices, etc., can solve the problem of not fully considering basic scattering types, etc.

Inactive Publication Date: 2009-01-14
HARBIN INST OF TECH
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Problems solved by technology

[0015] The present invention proposes a multi-component decomposition method for polarimetric synthetic aperture radar images in order to solve the problem that the existing target decomposition method does not fully consider all basic scattering types

Method used

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  • Multi-component decomposition method used for polarization synthetic aperture radar image
  • Multi-component decomposition method used for polarization synthetic aperture radar image
  • Multi-component decomposition method used for polarization synthetic aperture radar image

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specific Embodiment approach 1

[0023] Specific implementation mode one: combine figure 2 Describe this embodiment, the steps of this embodiment are as follows:

[0024] Step 1: Input the full polarization SAR image data: read in the full polarization SAR image data according to the data format;

[0025] Step 2: preprocessing the full polarization SAR image, and obtaining its covariance matrix;

[0026] Step 3: Decompose the covariance matrix of ground object scattering into five basic types of scattering, among which the five types of scattering are odd scattering, even scattering, volume scattering, helical scattering and line scattering; and correspond to The relationship between the elements is equal, and the weighting coefficients of each scattering type are calculated separately;

[0027] Step 4: Calculate the scattering power of each scattering type according to the weighting coefficient, obtain the decomposition results of each scattering type, and complete the multi-component decomposition.

specific Embodiment approach 2

[0028] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in step 3, ground object scattering is subdivided into five basic scattering types, which is achieved by dividing odd scattering, even scattering, volume scattering, helical scattering and line scattering As a model built for the basic scattering types, this model decomposes the covariance matrix into a weighted sum of these five basic scattering types, namely

[0029] [C]=f s [C s ]+f d [C d ]+f v [C v ]+f h [C h ]+f w [C w ] (1)

[0030] Among them, f s , f d , f v , f h and f w represent the weighting coefficients of each scattering type, [C s ], [C d ], [C v ], [C h ] and [C w ] represents the basic covariance matrix of each scattering type, where [C h ] and [C w ] are added according to the asymmetry of the artificial target in the polarized image.

[0031] The scattering covariance matrix [C] of polarimetric SAR is defined as

[0032] ...

specific Embodiment approach 3

[0058] Embodiment 3: The difference between this embodiment and Embodiment 2 is that the odd scattering is mainly composed of single scattering, triple scattering and first-order Bragg scattering, and the scattering matrix is

[0059] [ S s ] = β 0 0 1 , Re ( β ) > 0 - - - ( 8 )

[0060] Here β is the ratio of HH backscattering to VV backscattering. In the case of first-order Bragg, β can be expressed as

[0061] β = R h R v ...

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Abstract

A multi-component decomposing method used for polarization SAR images relates to the polarization SAR image object decomposing and image analyzing technical field and solves the defects of the existing object decomposing method that all the basic scattering types cannot be taken into account fully. The method has the following steps: a pre-processing is carried out for the full polarization SAR images to get a corresponding covariance matrix; the covariance matrix of ground object scattering is decomposed into the basic five kinds of scattering types and the weight coefficient of each scattering type is figured out respectively according to the equal relation between corresponding elements of the covariance matrix; the scattering power of each scattering type is computed out according to the weight coefficient to get the decomposition result of each scattering type so as to complete the multi-component decomposition. The invention fully takes the scattering characteristics of ground objects into account and can more authentically reflect the scattering condition of ground objects and can more accurately describe the scattering characteristics of the objects in the polarization SAR image so as to provide more accurate information for the successive object detection and classification.

Description

technical field [0001] The invention relates to the technical fields of polarization synthetic aperture radar image target decomposition and image analysis. Background technique [0002] Polarization SAR is a new type of radar based on the traditional SAR system, and its appearance greatly broadens the application field of SAR. Polarization synthetic aperture radar uses different polarization channels to obtain complex images to distinguish the detailed structure of objects, target orientation and material composition and other parameters. Fields such as military reconnaissance have an inestimable role. [0003] The polarimetric SAR system was first used in the late 1980s, and now the SAR system has fully entered the full-polarization working stage. With the promotion of the polarimetric SAR system, the full-polarization data obtained by people Also more and more abundant. How to quickly and accurately interpret images, and how to effectively classify or identify objects ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/90
Inventor 邹斌张腊梅蔡红军张钧萍张晔
Owner HARBIN INST OF TECH
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