Target decomposition method based on model for fully-polarized synthetic aperture radar

Abstract

The invention relates to a target decomposition method based on a model for a fully-polarized synthetic aperture radar. The target decomposition method comprises the steps of: acquiring fully-polarized data of a self-correlation matric form; getting volume scattering component power based on a nonnegative eigenvalue decomposition method under the theoretical situation of non-reflective symmetry; calculating a remainder self-correlation matrix according to the obtained volume scattering component power, and carrying out eigenvalue decomposition on the obtained remainder self-correlation matrix to obtain a characteristic vector with eigenvalue being zero and two characteristic vectors with eigenvalue being non-zero; conducting orientation angle compensation and helical angle compensation on the two characteristic vectors with eigenvalue being non-zero in the remainder self-correlation matrix; calculating a new remainder self-correlation matrix on the basis of the characteristic vectors after orientation angle compensation and helical angle compensation; and getting surface scattering power and double scattering power based on the obtained new remainder self-correlation matrix according to a method of getting surface scattering power and double scattering power through three-component decomposition. The target decomposition method provided by the invention has the advantages of no loss of information and no occurrence of negative power.

Description

technical field [0001] The invention relates to the field of image information processing of full polarization synthetic aperture radar, in particular to the fields of full polarization synthetic aperture radar target decomposition and model-based target decomposition. Background technique [0002] Target decomposition plays an important role in target recognition, target classification, and geophysical parameter estimation of all-polarization synthetic aperture radar. Model-based object decomposition is a research hotspot in the field of object decomposition. The seminal work on model-based object decomposition is the three-component decomposition proposed by Freeman and Durden (see reference 1: A. Freeman and S.L. Durden, “A three-component scattering model for polarimetric SAR data,” IEEE Trans.Geosci.Remote Sens., vol.36, no.3, pp.963-973, May 1998.). The three-component decomposition decomposes the backscattering of the target into three items, which are the surface s...

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Problems solved by technology

[0004] The purpose of the present invention is to propose a generalized model-based target decomposition method for full-polarization synthetic aperture radar, which can successfully solve the problems of information loss, surface scattering power or double scattering power, etc.

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