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

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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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 misclassification under different types of situations, etc., a method based on scattering power and intensity is proposed. A polarization SAR classification method based on joint statistics to improve the accuracy of polarization SAR image classification and the universality of the classification method

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