Freeman/eigenvalue decomposition method of adaptive volume scattering model

A technology of eigenvalue decomposition and scattering model, which is applied in the field of image processing, can solve the problem of overestimation of volume scattering, achieve the effect of reducing the proportion of pixels, increasing the proportion, and suppressing the overestimation of volume scattering
CN107229933AActive Publication Date: 2017-10-03XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2017-10-03

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Abstract

The invention discloses a freeman / eigenvalue decomposition method and an adaptive volume scattering model, and aims at solving the technical problems that volume scattering components are over-estimated and negative power pixel points are generated in polarization SAR image decomposition. The method comprises the following decomposition processes of: inputting a polarization SAR image data matrix; carrying out delicate Lee filtration and eliminating speckle noise; calculating a polarization azimuth angle to obtain a cross-polarization scattering model, and carrying out azimuth angle compensation; obtaining a new phase difference NPD through the polarization azimuth angle, and judging whether a target is located in an urban region or a natural region according to the NDP; constructing an improved adaptive scattering model; determining a new phase different NDP threshold value and judging a region where the target is located; and synthesizing an RGB image by using three scattering power distributions such as Pd, Pv and Ps and outputting the RGB image. The adaptive volume scattering model can be adapted to different object features, has more correct decomposition result in the artificial regions such as the city and the like, and can be applied to the identification and classification of polarization SAR targets.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and is mainly aimed at decomposing polarimetric SAR data, specifically a freeman / eigenvalue decomposition method of an adaptive volume scattering model, which can be applied to the identification and classification of polarimetric SAR targets. Background technique

[0002] Polarization synthetic aperture radar (polarization SAR) is a new SAR system based on the traditional SAR system. It measures the full polarization of the object through the combination of different polarization methods, and records the material composition, geometric characteristics, and azimuth of the object. and other information, to achieve a more comprehensive description of the object, and to provide the required specific information for different application scenarios.

[0003] Polarimetric target decomposition is the main implementation method of polarimetric SAR image polarization feature extraction. It uses p...

Claims

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