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Target Decomposition Method for Full-polarization Synthetic Aperture Radar Based on Adaptive Selective Unitary Transformation

An adaptive selection, aperture radar technology, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc., can solve the problem that the cross-polarization of the helical angle cannot be effectively compensated, and achieve the effect of suppressing the over-estimation of volume scattering. Effect

Inactive Publication Date: 2017-07-28
NAT SPACE SCI CENT CAS
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Problems solved by technology

When the helix angle of the target is the main factor to generate cross-polarization, if only Singer's compensation method is used to effectively compensate the cross-polarization caused by the helix angle

Method used

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  • Target Decomposition Method for Full-polarization Synthetic Aperture Radar Based on Adaptive Selective Unitary Transformation
  • Target Decomposition Method for Full-polarization Synthetic Aperture Radar Based on Adaptive Selective Unitary Transformation
  • Target Decomposition Method for Full-polarization Synthetic Aperture Radar Based on Adaptive Selective Unitary Transformation

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Embodiment Construction

[0035] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0036] Such as figure 1 Shown, the fully polarized synthetic aperture radar target decomposition method of self-adaptive selection unitary transformation, described method comprises the following steps:

[0037] Step 1) Carry out Singer's two unitary transformations to the data coherent T matrix of the full-polarization synthetic aperture radar to obtain the matrix

[0038] Step 101) carry out Singer's first unitary transformation to the coherent T matrix;

[0039]

[0040] Among them, Singh's first unitary transformation matrix Represents the complex conjugate transpose; T(θ) is the matrix obtained by performing Singer’s first unitary transformation on the coherent T matrix; (1) is called orientation angle compensation; expand (1) to get T 33 (θ)=T 33 cos 2 2θ-Re(T 23 )sin4θ+T 22 sin 2 2θ, by making T 33 (θ) can be minim...

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Abstract

The invention provides a complete polarization synthetic aperture radar target decomposition method for adaptive selection unitary transformation. The method comprises the following steps: (1) performing two unitary transformations for singh for data coherence T matrix of the complete polarization synthetic aperture radar to obtain the matrix, (the formula is as shown in specification); (2) performing other two unitary transformations for the coherence T matrix to obtain the matrix T(omega), wherein the first unitary transformation is used for performing the spiral angle compensation and restraining the volume scattering excessive estimation of model decomposition, the second unitary transformation is used for further restraining the volume scattering excessive estimation and reducing one degree of freedom of the coherence T matrix; (3) comparing with element (the formula is as shown in specification) of the matrix (the formula is as shown in specification) with the element T33(omega) of the matrix T(omega); if (the formula is as shown in specification), and (the formula is as shown in specification), otherwise, T is equal to T(omega); (4) performing three-component model decomposition on coherence T matrix. The two unitary transformations for singh in the step (1) or the two unitary transformations in the step (2) can be selected for the coherence T matrix in a self-adaption mode by the method according to the real situation of the object, and the volume scattering excessive estimation problem of the model decomposition can be effectively restrained.

Description

technical field [0001] The invention relates to the field of target decomposition of full-polarization synthetic aperture radar, in particular to a target decomposition method of full-polarization synthetic aperture radar with adaptive selective unitary transformation. Background technique [0002] In the field of all-polarization synthetic aperture radar target decomposition, model-based target decomposition has attracted extensive attention because of its simple concept and easy implementation. The pioneering work in the field of model decomposition is the three-component model decomposition proposed by Freeman and Durden (see A. Freeman and S.L. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 963-973, May 1998.). The three-component model decomposition decomposes the target into surface scattering component, dihedral angle scattering component and volume scattering component. Cross-polar scatt...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S13/90
CPCG01S13/90G01S13/9076
Inventor 朱飞亚张云华李东
Owner NAT SPACE SCI CENT CAS
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