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Polarimetric SAR multi-component target decomposition method

A target decomposition and multi-component technology, applied in the field of polarimetric SAR multi-component target decomposition, can solve the problem that the number of parameters to be obtained is more than the number of equations

Inactive Publication Date: 2016-03-30
CHINESE ACAD OF SURVEYING & MAPPING
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Problems solved by technology

This method not only solves the problem that the number of parameters to be obtained is more than the number of equations in the solution process of the previous algorithm, but also avoids the mandatory power limitation method used by the previous algorithm when dealing with negative power problems

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  • Polarimetric SAR multi-component target decomposition method
  • Polarimetric SAR multi-component target decomposition method
  • Polarimetric SAR multi-component target decomposition method

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[0059] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0060] figure 1 It is a flowchart of a polarimetric SAR multi-component target decomposition method described in the present invention. This polarimetric SAR multi-component target decomposition method, on the basis of the previous four-component decomposition algorithm, adds an additional diffuse scattering mechanism that may come from terrain or rough surfaces as the fifth decomposition component, that is, the fully polarimetric SAR coherence matrix T Or the covariance matrix C is decomposed into a linear weighted sum of five scattering components including odd scattering, even scattering, volume scattering, helical scattering and diffuse scattering. The algorithm uses the improved NNED (NonnegativeEigenvalueDecomposition) method to solve the volume scattering power, and directly adopts the corresponding odd-order scattering, even-order scattering and diff...

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Abstract

The invention provides a polarimetric SAR multi-component target decomposition method. According to the method, an additional diffuse scattering mechanism which may come from a terrain or rough surface is added as a fifth decomposition component on the basis of a previous four-component decomposition algorithm, namely, the linear weighted sum of five scattering components (odd scattering, even scattering, volume scattering, helicoid scattering and diffuse scattering) decomposed from a fully-polarimetric SAR coherence matrix T or covariance matrix C. The power of volume scattering is solved by an improved NNED method, and the contribution values of odd scattering, even scattering and diffuse scattering are directly solved by adopting corresponding odd scattering, even scattering and diffuse scattering models of a Pauli matrix directly and using a generalized similarity parameter GSP and eigenvalue decomposition. The novel method provided by the invention is conductive to improving the terrain classification accuracy of polarimetric SAR data.

Description

technical field [0001] The invention belongs to the field of SAR (Synthetic Aperture Radar, Synthetic Aperture Radar) image processing of remote sensing images, in particular to a polarization SAR multi-component target decomposition method. Background technique [0002] Polarized synthetic aperture radar transmits horizontal polarization H and vertical polarization V alternately, and receives scattered echoes from ground radar observation targets—horizontal polarization wave H and vertical polarization wave V, so as to obtain the polarization of the observation target. Scattering matrix S 2 (HH / HV / VH / VV). The polarization scattering matrix unifies the scattering ability characteristics, phase characteristics and polarization characteristics of the observation target, and describes the electromagnetic wave scattering characteristics of the radar observation target relatively completely. Radar polarization features can reflect the geometric structure, surface roughness, sym...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 张继贤魏钜杰赵争黄国满余小萍
Owner CHINESE ACAD OF SURVEYING & MAPPING
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