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Sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model

A hybrid model and image clutter technology, applied in the radio wave measurement system, radio wave reflection/re-radiation, re-radiation utilization, etc., can solve problems such as the inability to directly reflect the electromagnetic scattering mechanism of the environment, and achieve simple and efficient random sequences. The statistical model is simple and efficient, and the effect of reducing the number of simulation units

Pending Publication Date: 2021-05-07
AIR FORCE UNIV PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This type of method is simple in form, less time-consuming, and easy to implement, but it cannot directly reflect the electromagnetic scattering mechanism of the environment, especially for large-scale texture information in an inhomogeneous environment.

Method used

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  • Sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model
  • Sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model
  • Sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model

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Embodiment 1

[0052] The present invention is based on the determined random rough surface geometric model and electromagnetic scattering calculation method. Since the statistical model parameters of SAR coherent spots are derived from the scattering characteristics of the surface elements, the effectiveness of the electromagnetic scattering calculation method not only directly affects the SAR image. The accurate description of the texture information in the SAR not only indirectly determines the accurate qualitative of the coherent speckle modeling in the SAR resolution unit. There are a large number of coherent spots, which are difficult to represent with traditional electromagnetic models. Especially for high-resolution radars, the bin size must be small enough, resulting in a sharp increase in simulation objects. Therefore, coherent speckle simulation determines the efficiency of image simulation. Therefore, the present invention is based on a deterministic panel electromagnetic model, a...

Embodiment 2

[0086] A kind of sea surface SAR image clutter generation method based on electromagnetic and statistical hybrid model, carry out the simulation of sea surface electromagnetic scattering data according to the step 1-3 in embodiment 1, the sea surface electromagnetic scattering calculation model in the present invention is explained and verified.

[0087] Simulation conditions:

[0088] The sea surface sample size is 100m×100m, and the radar wave frequency is 14GHz. The sea surface wind speed is 5m / s, and the relative permittivity is 42-j36. Based on the electromagnetic simulation method used in the present invention, the variation law of sea surface backscattering under the condition of different bin sizes is calculated.

[0089] Simulation results such as image 3 As shown, it can be observed that changing the bin size (respectively 0.5m, 1.0m, 1.5m), the calculated scattering coefficient has almost no change, which shows that the change of the bin size is not obvious by th...

Embodiment 3

[0091] The sea surface SAR image clutter simulation method based on the electromagnetic and statistical hybrid model is the same as in embodiment 1. The simulation conditions for this simulation:

[0092] The sea surface wind speed is 5m / s, the relative permittivity is 42.08-39.45j, and the number of surface elements of the rough surface sample is 200m×200m. The radar incident angle is 53°, the frequency is 16GHz, the signal bandwidth is 150MHz, the azimuth resolution is the same as the range direction, and the number of coherent speckle simulations inside the resolution unit is 100. The simulation obtains SAR images such as Figure 4As shown, the clutter data in the image is statistically analyzed, and the parameters are estimated. The analysis results are as follows Figure 5 shown.

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Abstract

The invention provides a sea surface SAR image clutter generation method based on an electromagnetic and statistical hybrid model. The method comprises the following specific steps: S1, determining a power spectrum density function of a rough surface, and constructing a sea rough surface model; S2, cutting off the power spectral density function, and calculating a slope probability density function in each surface element; S3, calculating a scattering cross section of each surface element based on geometrical optics and a perturbation model; S4, calculating clutter data of each surface element; and S5, superposing the clutter data of all the surface elements to obtain a final environment SAR image. Accurate texture information of the electromagnetic model is reserved, and the statistical model is simple and efficient.

Description

technical field [0001] The invention relates to the technical field of radar image simulation, mainly relates to electromagnetic scattering calculation and clutter sequence simulation, in particular to a sea SAR image clutter generation method based on an electromagnetic and statistical hybrid model. Background technique [0002] Compared with optical sensors, Synthetic Aperture Radar (SAR) can not be affected by the weather, and can continuously monitor the earth-sea environment and its surface targets all day long. SAR image is the data obtained after receiving reflected electromagnetic waves, which contains rich information about the target and the marine environment. The interpretation of SAR image has important practical significance and application value for both national defense and military construction and national economic development. Among them, the modeling and simulation of SAR image clutter in the marine environment is the basis for understanding the electroma...

Claims

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/9094
Inventor 王童彭鹏童创明宋涛
Owner AIR FORCE UNIV PLA
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