Method and device for decomposing objective scattering ingredients of polarized SAR (synthetic aperture radar)

Abstract

An embodiment of the invention discloses a method and a device for decomposing objective scattering ingredients of a polarized SAR (synthetic aperture radar). The method comprises the following steps of selecting a volume scattering model based on polarized SAR image data to be processed; extracting the maximum volume scattering power of the polarized SAR image data to be processed according to the polarized SAR image data to be processed and the volume scattering model; acquiring residual polarization coherence matrix of the polarized SAR image data to be processed according to the polarized SAR image data to be processed, the volume scattering model and the maximum volume scattering power value, and performing characteristic decomposition on the residual polarization coherence matrix to obtain the characteristic value and the characteristic vector of the residual polarization coherence matrix; calculating an objective scattering mechanism decision value according to elements of the characteristic vector; and determining even-order scattering and / or surface scattering ingredients of the polarized SAR image data to be processed according to the objective scattering mechanism decision value, and determining power values corresponding to the even-order scattering and / or surface scattering ingredients.

Description

technical field [0001] The invention relates to signal processing technology, in particular to a method and device for decomposing scattering components of a polarized synthetic aperture radar (SAR, Synthetic Aperture Radar) target. Background technique [0002] Polarized SAR uses different combinations of polarized transmitting and polarized receiving antennas to obtain the polarized SAR image information of the target. Polarization SAR image information can provide a lot of ground object information, such as surface roughness, symmetry, orientation and so on. At present, the commonly used polarimetric SAR information extraction methods are usually realized by using non-negative eigenvalue decomposition algorithm. [0003] However, the non-negative eigenvalue decomposition algorithm is only applicable to the condition of reflection symmetry. Under the condition of non-reflection symmetry, the algorithm has the problems of overestimation of volume scattering components and ...

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Problems solved by technology

[0003] However, the non-negative eigenvalue decomposition algorithm is only applicable to the condition of reflection symmetry. Under the condition of non-reflection symmetry, the algorithm has the problems of overestimation of volume scattering components and low accuracy of target decomposition results.

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