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Polarization four-component decomposition method for city area

A four-component decomposition, urban area technology, applied in the field of polarization four-component decomposition, can solve the problems of overestimation of volume scattering, overestimation of volume scattering power, negative value of surface scattering power and dihedral angle scattering power, etc.

Inactive Publication Date: 2014-01-22
CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

However, in urban areas, the Yamaguchi decomposition still has the problem of overestimation of volume scattering
[0015] An et al. solved the negative power phenomenon by using OAC and using a new volume scattering model expression in the Freeman decomposition; in the vegetation area, Arii proposed a general significance and the volume scattering model has achieved good results in the forest area However, for urban areas, the problem that the body scattering power is overestimated, and the surface scattering power and dihedral scattering power have negative values ​​still exists.

Method used

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  • Polarization four-component decomposition method for city area
  • Polarization four-component decomposition method for city area
  • Polarization four-component decomposition method for city area

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Embodiment Construction

[0047] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] Such as figure 1 with figure 2 As shown, the polarization four-component decomposition method facing urban areas of the present invention comprises the following steps:

[0049] S11: Preprocessing the polarimetric SAR image data in the urban area to obtain the coherence matrix T θ ;

[0050] Coherence matrix T of polarimetric synthetic aperture radar θ can be obtained according to its definition.

[0051] S12: Eliminate coherence matrix T θ Orientation angle θ in get the coherence matrix T = T 11 T 12 T 13 T ...

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Abstract

The invention discloses a polarization four-component decomposition method for a city area. The method comprises the following steps of: performing preprocessing on the polarimetric synthetic aperture radar image data of the city area so as to obtain a coherent matrix T theta; S12: eliminating the orientation angle theta in the coherent matrix T theta so as to obtain coherent matrix T; and S13: performing polarization four-component decomposition on the coherent matrix T by using a volume scattering model Tv. Through the orientation angle compensation performed on a coherent matrix and using a new volume scattering model to describe the volume scatting in polarization decomposition, the negative power problems of surface scattering and dihedral angle scattering, which are caused by overestimated volume scattering power, can be released to a certain extent.

Description

technical field [0001] The invention relates to the field of polarization synthetic aperture radar image processing, in particular to a polarization four-component decomposition method for urban areas. Background technique [0002] Polarimetric Synthetic Aperture Radar (POLSAR), as a new development direction of Synthetic Aperture Radar (SAR), can detect the modulation characteristics of ground targets on electromagnetic waves by transmitting and receiving electromagnetic waves with different polarization modes. Since scattering objects have different modulation effects on electromagnetic waves with different polarization modes, polarimetric SAR can obtain polarization scattering matrix, Mueller matrix or Stokes matrix reflecting the scattering characteristics of resolution units. The polarization scattering matrix unifies the energy characteristics, phase characteristics and polarization characteristics of the scattering target, and describes the electromagnetic scattering ...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/41
CPCG01S7/024G01S7/411G01S13/904G01S13/9076
Inventor 张红
Owner CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
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