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Method for classifying polarization synthetic aperture radar image based on sub-aperture analysis

A technology of synthetic aperture radar and classification method, which is applied in the direction of electromagnetic wave re-radiation, measuring devices, instruments, etc., can solve the problems of indistinguishability, poor classification ability, etc., achieve good classification effect, improve classification accuracy, and good effect of merging

Inactive Publication Date: 2009-06-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0030] This type of scattering is not in the reasonable area of ​​​​the H-α plane, because we cannot distinguish surface scattering with entropy H > 0.9, because the classification ability is getting worse and worse with the increase of entropy

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  • Method for classifying polarization synthetic aperture radar image based on sub-aperture analysis
  • Method for classifying polarization synthetic aperture radar image based on sub-aperture analysis
  • Method for classifying polarization synthetic aperture radar image based on sub-aperture analysis

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Embodiment Construction

[0067] Sub-aperture decomposition is performed on a polarization SAR image, and the power image before and after decomposition (that is, the intensity sum of each polarization channel) is as follows: Figure 4 shown.

[0068] The H / α / Wishart classification method based on sub-aperture data is used to classify the polarimetric SAR images in the Foulum area. In order to minimize the resolution reduction caused by sub-aperture decomposition, the original data is only decomposed into three sub-apertures. Classification results (iteration 2 times) such as Figure 5 shown.

[0069] In order to compare the classification effect, we used the traditional H / α / Wishart classification method based on the full resolution image to classify the Foulum area, and the results are as follows Image 6 shown.

[0070] Compare Figure 5 with Image 6 It can be seen from the classification results that a kind of polarization synthetic aperture radar image classification method based on sub-apert...

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Abstract

A method for classifying radar images of polarization synthetic apertures based on sub-aperture analysis belongs to the technical field of radar imagery, which relates to a polarization synthetic aperture radar (PolSAR) imagery processing technology. The classifying method is characterized in that the initial classification of SAR images polarized in the entire resolution ratio is primarily performed by adopting an H / Alpha plane; then the sub-aperture decomposition of SAR images polarized in the entire resolution ratio is performed; then a center of an initial category Vm is calculated through the coherent matrix of sub-aperture images; the distance measure of all pixels and each class center in all the sub-aperture images is calculated, and the pixels are categorized to the class with the minimum distance measure; finally, whether the iteration terminal conditions are not met or not, if the terminal conditions are met, the iteration is terminated; if the terminal conditions are not met, the iteration is continuously performed by returning to step 2. The invention can synthesize scattering properties of the target and the change of the scattering properties at different visual angles, and the classification precision is improved, so as to bring better classifying effect.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and relates to a polarization synthetic aperture radar (PolSAR) image processing technology, in particular to a high-precision polarization SAR image classification technology. Background technique [0002] Full-polarization SAR images provide richer target information for information processing and acquisition in radar images. Using the full polarization SAR echo data, the target scattering type can be classified. At present, the classification methods of full-polarization SAR images are mainly divided into two categories according to the given data types: classification based on scattering coefficient matrix and classification based on coherence matrix or covariance matrix. The single-view SAR data generally gives the scattering coefficient matrix, which can be used to perform Pauli decomposition on the horizontal and vertical polarization bases to classify the image, and the decompositi...

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Application Information

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IPC IPC(8): G06K9/62G01S7/48G01S17/00
Inventor 皮亦鸣曹宗杰杨晓波王海江闵锐吴婉澜龙泓琳
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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