Method for classifying polarimetric synthetic aperture radar (SAR) images on the basis of scattered power and intensity combined statistics

A technology of scattering power and classification method, which is applied in the field of image processing, can solve problems such as misclassification and difficult classification, and achieve the effect of improving classification accuracy and improving universality

Inactive Publication Date: 2013-08-21
XIDIAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, aiming at the problems of difficult classification of mixed scattering mechanism regions in polarization SAR classification, similar scattering characteristics but easy to cause miscl...

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  • Method for classifying polarimetric synthetic aperture radar (SAR) images on the basis of scattered power and intensity combined statistics
  • Method for classifying polarimetric synthetic aperture radar (SAR) images on the basis of scattered power and intensity combined statistics
  • Method for classifying polarimetric synthetic aperture radar (SAR) images on the basis of scattered power and intensity combined statistics

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Embodiment Construction

[0029] refer to figure 1 , the concrete implementation of the present invention is as follows:

[0030] Step 1. Take the coherence matrix T of the polarimetric SAR image to be classified as input, and the size of T is 3×3×z, where z is the total number of image pixels.

[0031] Step 2. Using the Lee filter to denoise the coherence matrix T to obtain a denoised coherence matrix T'.

[0032] Polarimetric SAR data contains a lot of noise, and the original data needs to be denoised before classification to reduce the impact of noise on the classification results. The noise of polarimetric SAR data belongs to multiplicative and additive noise. The general denoising method is not ideal for polarimetric SAR denoising. Here, the Lee filter is used to denoise the coherence matrix T, and the denoised coherence matrix T' is obtained .

[0033] Step 3. Perform Freeman decomposition on the denoised coherence matrix T', extract the volume scattering power of the polarimetric SAR data, an...

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Abstract

The invention discloses a method for classifying polarimetric synthetic aperture radar (SAR) images on the basis of scattered power and intensity combined statistics. The method for classifying the polarimetric SAR images on the basis of the scattered power and the intensity combined statistics mainly solves the problem that in the prior art, zones with similar scattering properties are difficult to distinguish and classification numbers are fixed. The method is achieved by the following steps that: utilizing a Lee filter to conduct filtering on a coherence matrix T, utilizing Freeman decomposition to obtain a power matrix, utilizing eigenvalue decomposition to obtain an intensity matrix, conducting 8 neighborhood averaging on the power matrix and the intensity matrix respectively, selecting a k class homogeneous zone as a training sample, utilizing an EM algorithm to estimate parameters of probability density distribution functions of the power matrix and the intensity matrix of a k class sample, solving joint probability distribution of the power matrix and the intensity matrix of the k class sample, and conducting Bayesian classification on polarimetric SAR data to be classified to obtain classification results. The method for classifying the polarimetric SAR images on the basis of the scattered power and the intensity combined statistics has the advantages of being good in the classification effect of the polarimetric SAR images, and can be further used for target detection and target identification of the polarimetric SAR images.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to polarimetric SAR image processing, which can be used for target detection, target classification and recognition in radar images. Background technique [0002] With the development of information processing technology and electronic technology, synthetic aperture radar has begun to develop in the direction of high resolution, multi-polarization, multi-working mode, multi-band, etc., and is committed to providing people with more and richer target scattering information. Among them, the development of multi-polarization is a very important direction. Compared with the traditional single-polarization synthetic aperture radar, which can only detect the scattering characteristics of the target under the specific combination of electromagnetic wave polarization transmission and reception, the multi-polarization synthetic aperture radar undoubtedly provides more and more infor...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 缑水平焦李成王维芳朱虎明王爽刘坤侯小瑾
Owner XIDIAN UNIV
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