Polarization SAR data classification method and system based on mixed classifier

A hybrid classifier and data classification technology, which is applied in the fields of instrumentation, computing, character and pattern recognition, etc., can solve the problem that polarization SAR data classification cannot achieve high classification accuracy and high classification efficiency at the same time

Active Publication Date: 2013-10-23
WUHAN UNIV
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[0017] Aiming at the deficiency that the polarization SAR data classification in the prior art cannot achieve high classification accuracy and high classification efficiency at the same time, the present invention provides an extrem

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  • Polarization SAR data classification method and system based on mixed classifier
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[0051] The decision tree classifier has high classification efficiency, but the classification accuracy is low; the SVM classifier has high classification accuracy, but the classification efficiency is low. The method of the invention uses a decision tree classifier to select polarization features, and uses an SVM classifier to classify polarized SAR data. On the one hand, the classification accuracy can reach the level of the SVM classifier, and on the other hand, the classification efficiency is equivalent to that of the decision tree classifier.

[0052] In order to better understand the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0053] The polarimetric SAR data classification method based on the hybrid classifier of the present invention specifically comprises steps:

[0054] Step 1: Polarization refined Lee filtering is performed on t...

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Abstract

The invention discloses a polarization SAR data classification method and system based on a mixed classifier. The polarization SAR data classification method includes the steps of obtaining polarization SAR data initial polarization characteristics in different classes, adopting a decision tree classifier to select the polarization characteristics for classification from the initial polarization characteristics, being based on the polarization characteristics for classification, and adopting an SVM classifier to classify polarization SAR data. According to the polarization SAR data classification method and system, the advantages of the decision tree classifier and the advantages of the SVM classifier are synthesized, the classification accuracy reaches the level of the SVM classifier, the classification calculation efficiency is equivalent to that of the decision tree classifier, and the polarization SAR data classification method and system are of great significances in polarization SAR data classification.

Description

technical field [0001] The invention belongs to the field of radar data processing, in particular to a method and system for classifying polarimetric SAR data based on a hybrid classifier. Background technique [0002] The classification of polarimetric SAR data is an important part of SAR image interpretation, which generally includes several steps of constructing polarimetric features, constructing classifiers, and classifying. Among them, the selection of classifiers has a great impact on the accuracy of the final classification results. At present, there are many classifiers that can be used to classify polarimetric SAR data. Literature [1] uses the maximum likelihood criterion to classify polarimetric SAR data. The classification error probability of this criterion is small, but the classification result is greatly affected by subjective factors. Literature [2] uses the C-means algorithm to classify polarimetric SAR data. This algorithm can reflect the real situation of...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
Inventor 段艳孙明伟张剑清
Owner WUHAN UNIV
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