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Polarization synthetic aperture radar complex image data transformation method

A technology of synthetic aperture radar and data transformation, applied in the field of image interpretation, can solve the problems of lack of target accuracy and confusion, achieve the effect of improving the ability of distinction and retrieval, increasing the difference, and facilitating comprehensive consideration

Pending Publication Date: 2022-05-06
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

In the original SAR complex image, the phase obeys the uniform distribution between -π~π, the amplitude obeys the Rayleigh distribution, and the intensity obeys the exponential distribution. Regardless of the magnitude image or the intensity image, the distribution of the pixel value range varies greatly, and The variation range of SAR complex images in different areas may be different, and the difference is very large, while the logarithmic transformation introduces negative numbers into the image pixel values. For targets with small echoes, the absolute value of the logarithmic value is relatively large. It is easy to be confused with targets with high echo intensity, resulting in loss of target accuracy

Method used

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  • Polarization synthetic aperture radar complex image data transformation method
  • Polarization synthetic aperture radar complex image data transformation method
  • Polarization synthetic aperture radar complex image data transformation method

Examples

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Embodiment 1

[0064] Take the data product RADARSAT-2 SLC HH polarization as an example to perform SAR complex image data transformation

[0065] Step 1. Select SAR complex image

[0066] As shown in Figure 1, the SAR complex image is selected, which is composed of real part and imaginary part. Figure 1A is the real image, Figure 1B is the imaginary part of the image, and the complex value of the corresponding pixel in the image is given by Figure 1A and Figure 1B The numerical values ​​of the corresponding points constitute a pair of complex numerical coordinates. In this example, the image height M=6220, and the image width N=3644.

[0067] Step 2. Convert the SAR complex image into magnitude image A and phase image φ

[0068] The pixel-by-pixel value uses Euler's formula to convert the pixel complex number from the algebraic form to the complex exponential form, forming the amplitude image A and the phase image φ.

[0069] Figure 2 is the amplitude image, where Figure 2A is the ...

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Abstract

The invention belongs to the technical field of image interpretation, and particularly discloses a polarized synthetic aperture radar complex image data transformation method, which comprises the following steps of: 1, selecting an SAR complex image; 2, converting the SAR complex image into an amplitude image A and a phase image phi; 3, calculating a mean square error sigma of the amplitude image A; step 4, calculating a U image according to the mean square error sigma of the amplitude image A; 5, calculating a phase image phi; step 6, calculating a phase V image according to the phase image phi; and step 7, a calculation result (U, V) is a final SAR complex image data conversion result. The U and the V obtained through transformation of the method have almost the same numerical range and statistical distribution form, the application degree and depth of phase data in SAR image target enhancement and detection are improved, and the interpretation precision of SAR remote sensing images is improved.

Description

technical field [0001] The invention belongs to the technical field of image interpretation, and in particular relates to a method for transforming polarization synthetic aperture radar complex image data. Background technique [0002] In the general synthetic aperture radar (SAR) image target enhancement and detection process, the magnitude image is usually modeled and analyzed, and the CFAR method is used for calculation; in the target polarization transformation, complex numbers are generally used for calculation, and the phase information Less utilization. [0003] Unlike the case where the pixel values ​​of general optical images are real numbers, the pixel values ​​in synthetic aperture radar (SAR) images are generally complex numbers (I, Q) expressed in algebraic form, which represent the The coherent superposition of backscattering includes not only the backscattering features from the targets in the illuminated area, but also the spatial features between targets wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/9021
Inventor 朱黎江
Owner BEIJING RES INST OF URANIUM GEOLOGY
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