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Cross-scattering model-based polarization radar remote sensing image urban target decomposition method

A technology of polarization target decomposition and scattering model, which is applied in the field of urban target decomposition of polarization radar remote sensing images, can solve the problems of reducing volume scattering estimation, underestimating volume scattering in forest areas, and inaccurate scattering mechanism in forest areas, etc. Sex, results, reasonable effects

Inactive Publication Date: 2019-02-22
HANGZHOU SHIPING INFORMATION & TECH
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Problems solved by technology

This method can effectively obtain the cross-scattering of the urban area to reduce the volume scattering estimation, but the volume scattering of the forest area is also underestimated at the same time, resulting in an inaccurate scattering mechanism of the forest area

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  • Cross-scattering model-based polarization radar remote sensing image urban target decomposition method
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  • Cross-scattering model-based polarization radar remote sensing image urban target decomposition method

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Embodiment Construction

[0065] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0066] see figure 1 , the present invention is based on the cross-scattering model polarization SAR urban target decomposition method, the specific implementation steps are as follows:

[0067] Step 1. The radar polarization scattering matrix of each pixel in PolSAR single-view complex data can be expressed as Where H and V represent horizontal polarization and vertical polarization, respectively. S PQ (P, Q=H, V) is the target backscattering coefficient of the scattering matrix when transmitting in Q polarization mode and receiving in P polarization mode. In the case of backscattering that satisfies the reciprocity theorem, there is S HV = S VH .

[0068] Then the Pauli scattering vector can be expressed as

[0069] Step 2. Scatter vector k by Pauli 3P Calculate the polarization coherence matrix T of the pixel, and the calculation formula is:

[0...

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Abstract

The invention relates to a cross-scattering model-based polarization radar remote sensing image urban target decomposition method. The method includes the following steps that: a PolarSAR image single-view polarization scattering matrix is converted into a polarization covariance matrix or a polarization coherence matrix; a PolarSAR image pixel polarization azimuth is calculated on the basis of the polarization covariance matrix or the polarization coherence matrix; the cross-scattering model of a building is constructed on the basis of the polarization azimuth and a dihedral angle reflector;a polarization target decomposition solving equation is constructed according to a surface scattering model, an even-order scattering model, a volume scattering model, a spiral scattering model and the cross-scattering model, and the scattering coefficients of each model are solved; and the scattering weighting coefficients of each model are corrected, and surface scattering power, even-order scattering power, volume scattering power, spiral scattering power, and cross-scattering power are calculated on the basis of the scattering weighting coefficients of each model, and target decompositionis completed. With the cross-scattering model-based polarized radar remote sensing image urban target decomposition method of the present invention adopted, the HV scattering of the building can be effectively described.

Description

technical field [0001] The invention belongs to the field of remote sensing image interpretation, and relates to a method for decomposing urban targets in polarized radar remote sensing images based on a cross-scattering model, which is used for estimating the components of the target scattering mechanism in the image and providing important feature information for target classification and recognition. Background technique [0002] The target decomposition of radar remote sensing images is to express the received polarization scattering matrix, covariance matrix or coherence matrix as the sum of several basic scattering mechanisms with different physical meanings, and it is an important means to describe and extract the target features of radar remote sensing images. , is also the basis of target detection and recognition, image segmentation and classification, etc., so it has always been a key technology in the field of radar polarization remote sensing image processing. I...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 项德良王世晞张亮徐建忠
Owner HANGZHOU SHIPING INFORMATION & TECH
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