Polarized SAR Classification Method Based on NSCT and Discriminative Dictionary Learning

A technology of dictionary learning and classification methods, applied in the fields of image processing and target recognition, can solve the problems affecting data classification effect, classification speed, and classification effect, and achieve the effect of facilitating understanding, improving classification speed, and improving classification accuracy.
CN104680182BActive Publication Date: 2018-03-13XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2018-03-13

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Abstract

The invention discloses a polarization SAR classification method based on NSCT and discriminant dictionary learning, which mainly solves the problems of low classification accuracy and slow classification speed of the existing polarization SAR image classification method. Its implementation steps are: 1. Obtain the coherence matrix of the polarimetric SAR image to be classified, and perform Lee filtering on it to obtain the denoised coherence matrix; 2. Cloude decompose the denoised coherence matrix, and decompose the 3 non-negative eigenvalues ​​and scattering angles are used as classification features; 3. Perform 3-layer non-subsampling Contourlet transformation on the classification features, and use the transformed low-frequency coefficients as the transformation domain classification features; 4. Use the transformation domain classification features, combined with the discriminant dictionary Learning model training dictionary and classifier; 5. Use the trained dictionary and classifier to classify the test samples to obtain the classification result. The invention improves classification accuracy and classification speed, and is suitable for image processing.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, in particular to a SAR image classification method, which can be used in the field of target recognition. Background technique

[0002] Synthetic Aperture Radar (SAR) is popular because of its powerful advantages of all-day, all-weather, and high-resolution. Compared with the traditional single-polarization SAR, the polarization SAR measures the target in all polarizations and can obtain richer target information, so it has attracted much attention in recent years.

[0003] The images obtained by polarimetric SAR are called polarimetric SAR images. Polarimetric SAR image classification is an important research content in the process of polarimetric SAR image interpretation. Its purpose is to use the polarimetric measurement data acquired by the polarimetric SAR sensor to determine the category of each unit in the polarimetric SAR image. The results of polarimetric SAR image classificat...

Claims

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