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Method for classifying scattering pyramids facing polarimetric synthetic aperture radar images

A technology of aperture radar and classification method, applied in character and pattern recognition, instrument, scene recognition, etc., can solve problems such as no implementation plan

Inactive Publication Date: 2015-05-20
NAT SPACE SCI CENT CAS
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Problems solved by technology

However, regarding the classification application of this decomposition, there is no effective implementation scheme

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  • Method for classifying scattering pyramids facing polarimetric synthetic aperture radar images
  • Method for classifying scattering pyramids facing polarimetric synthetic aperture radar images
  • Method for classifying scattering pyramids facing polarimetric synthetic aperture radar images

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Embodiment Construction

[0041] The present invention will be further described now in conjunction with accompanying drawing.

[0042] refer to figure 1 and figure 2 , the scattering pyramid classification method facing full polarization SAR image of the present invention comprises the following steps:

[0043] Step 1), read in the coherence matrix of the image to be classified and perform de-orientation processing;

[0044] Step 2), from the results obtained in step 1), obtain the preference degree (SDoP, Scattering Degree of Preference) parameter SDoP of the target to surface scattering, two-sided scattering and volume scattering respectively s、SDoP d and SDoP v , and the average preference parameter SDoP 3 ;

[0045] Step 3), based on the SDoP obtained in step 2) 3 Construct a three-layer pyramid model, representing high, medium and low scattering random situations from bottom to top;

[0046] Step 4), based on parameter SDoP s 、SDoP d and SDoP v The permutation and combination of step ...

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Abstract

The invention relates to a method for classifying scattering pyramids facing polarimetric synthetic aperture radar images. The method comprises the following steps of reading the coherency matrix of the images to be classified, and de-orientating; respectively calculating the preference degree parameters SDoPs, SDoPd and SDoPv of surface scattering, biplanar scattering and volume scattering as well as the average preference degree parameter SDoP3 required by targets; based on SDoP3, building a three-layer pyramid model, wherein from bottom to top, the three-layer pyramid model respectively stands for high, middle and low random scattering situations; based on the permutation and combination of the parameters SDoPs, SDoPd and SDoPv, dividing the three-layer pyramid model into ten blocks to respectively stand for ten different scattering mechanisms; marking the images to be classified with different marks; finally forming a classifying image.

Description

technical field [0001] The invention relates to an image classification method, in particular to a scattering pyramid classification method for full polarization synthetic aperture radar images. Background technique [0002] The classification of all-polarization SAR images is a research hotspot in the field of microwave remote sensing and earth science. The full polarization radar can obtain information about the physical scattering and geometric structure of the target through alternating orthogonal reception, which is included in the obtained second-order statistical matrix of target scattering, such as Kennaugh matrix, coherence matrix and covariance matrix. In order to interpret the target information from these matrices, it needs to be processed to some extent. Huynen discovered in 1970 (see reference 1: "J.R. Huynen, "Phenomenological Theory of Radar Targets," Ph.D.Dissertation, Tech.Univ.Delft, Delft, The Netherlands, 1970"): target decomposition is an effective A ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V20/13G06F18/2415
Inventor 李东张云华
Owner NAT SPACE SCI CENT CAS
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