Polarimetric synthetic aperture radar image target detection method based on quotient space granular computing

A technology of synthetic aperture radar and target detection, which is applied in measuring devices, radio wave measurement systems, radio wave reflection/re-radiation, etc., and can solve problems such as inability to obtain comprehensive detection results

Inactive Publication Date: 2011-05-11
HARBIN INST OF TECH
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Problems solved by technology

[0007] In order to solve the defect that the existing single detection method cannot obtain comprehensive detection results, the present invention proposes a polarization synthetic aperture radar image target detection method based on quotient space granularity calculation

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  • Polarimetric synthetic aperture radar image target detection method based on quotient space granular computing
  • Polarimetric synthetic aperture radar image target detection method based on quotient space granular computing
  • Polarimetric synthetic aperture radar image target detection method based on quotient space granular computing

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specific Embodiment approach 1

[0021] Specific implementation mode one: combine figure 1 and Figure 6 Describe this embodiment, the steps of this embodiment are as follows:

[0022] Step 1: Obtain the image data to be processed by collecting images through the polarization synthetic aperture radar, and read in the data of the full polarization synthetic aperture radar image according to the data format;

[0023] Step 2: Image preprocessing: preprocessing the full polarization SAR image;

[0024] Step 3: Calculate the different characteristic parameters of the full polarization SAR image, and perform target detection to obtain the coarse-grained space:

[0025] Step 3A: Target detection based on polyscattering model: based on polyscattering model, decompose polarized targets on fully polarized synthetic aperture radar images, and obtain odd scattering, even scattering, volume scattering, line scattering and helical scattering According to the detection purpose, one or more of the above five kinds of scat...

specific Embodiment approach 2

[0032] Specific implementation mode two: combination figure 2 Describe this embodiment. The difference between this embodiment and the specific embodiment is that ground object scattering is subdivided into five basic scattering types: odd scattering, even scattering, volume scattering, helical scattering and line scattering, and using these five basic scattering types Scattering type constructs a multi-scattering model, and the multi-scattering model decomposes the covariance matrix into the weighted sum of these five basic scattering types, namely

[0033] [C]=f odd [C odd ]+f double [C double ]+f volume [C volume ]+f helix [C helix ]+f wire [C wire ] Formula 1 where, f odd , f double , f volume , f helix and f wire represent the scattering energy of each component, [C odd ], [C double ] and [C volume ] is consistent with the corresponding covariance matrix given in the Freeman decomposition, [C helix ] and [C wire ] is added according to the asymmetry of...

specific Embodiment approach 3

[0059] Specific implementation mode three: combination image 3 Describe this embodiment. The difference between this embodiment and the specific embodiment is that for some complex targets, their scattering characteristics are determined by different independent sub-scatterers and their interactions. Therefore, in the radar measurement process, the scattering characteristics of complex targets It has certain randomness and depolarization characteristics, which need to be described by statistical methods.

[0060] For multi-look polarization SAR images, it is usually described by Mueller matrix or Stokes matrix. The Stokes matrix is ​​a 4×4 symmetric matrix, which can completely characterize the scattering characteristics of the target. The Stokes matrices of the two targets are respectively [K 1 ] and [K 2 ], then the similarity parameters of two targets based on the Stokes matrix are defined as

[0061] R ( [ K ...

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Abstract

A polarimetric synthetic aperture radar image target detection method based on quotient space granular computing relates to the field of remote sensing, and solves the problem that the traditional detection method is inflexible and cannot acquire comprehensive detection results. The method comprises the following steps: a full polarimetric synthetic aperture radar image is pretreated; a multicomponent dispersion model, a polarimetric similarity parameter and a polarimetric whitening filter are respectively adopted to treat the polarimetric synthetic aperture radar image, and the target detection is carried out to obtain three coarsness spaces; the quotient space theory is utilized for synthesis of the three coarsness spaces, including the synthesis of domains of discourse and the synthesis of attributes; and the attributes of synthetic domains of discourse are utilized to re-determine and re-divide undetermined elements, and an acquired result is combined with the synthetic domains ofdiscourse so as to obtain the fine grit space of the detection result, that is, the comprehensive and optimized detection result. The method solves the problem that the traditional polarimetric characteristics and polarimetric detection arithmetic are inflexible and limited in the target detection of a building with complicated dispersion characteristics.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to the technical field of polarization synthetic aperture radar image target detection and image interpretation. Background technique [0002] Polarization SAR can use SAR complex images of different polarization channels to distinguish the detailed structure, target pointing, geometric shape and material composition of objects, and has broad application prospects in the field of remote sensing. [0003] Man-made target classification and detection are of great significance in both military and civilian applications. For civilian use, such as finding and rescuing crashed planes, detecting specific targets in areas that are difficult for humans to reach or have harsh natural conditions, monitoring and evaluating the development of cities and towns, etc. In military applications, the detection and recognition of man-made targets is mainly used for national defense early warning, militar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/41
Inventor 张腊梅邹斌张钧萍贾青超
Owner HARBIN INST OF TECH
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