X-band雷达图像中降雨干扰的识别与抑制

沈继红; 李英; 戴运桃; 王淑娟

doi:10.3788/OPE.20122008.1846

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X-band雷达图像中降雨干扰的识别与抑制

信息科学 | 更新时间：2020-08-12

- X-band雷达图像中降雨干扰的识别与抑制
- Identification and suppression of rain interference on X-band radar images
- 光学精密工程 2012年20卷第8期页码：1846-1853
- 作者机构：
  
  1. 哈尔滨工程大学自动化学院,黑龙江哈尔滨,150001
  2. 哈尔滨工程大学理学院
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.51109041)()
- DOI：10.3788/OPE.20122008.1846
  中图分类号： TN957.5
- 收稿日期：2012-04-17，
  
  修回日期：2012-05-09，
  
  纸质出版日期：2012-08-10
- 稿件说明：
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沈继红, 李英, 戴运桃, 王淑娟. X-band雷达图像中降雨干扰的识别与抑制[J]. 光学精密工程, 2012,(8): 1846-1853

SHEN Ji-hong, LI Ying, DAI Yun-tao, WANG Shu-juan. Identification and suppression of rain interference on X-band radar images[J]. Editorial Office of Optics and Precision Engineering, 2012,(8): 1846-1853
沈继红, 李英, 戴运桃, 王淑娟. X-band雷达图像中降雨干扰的识别与抑制[J]. 光学精密工程, 2012,(8): 1846-1853 DOI： 10.3788/OPE.20122008.1846.

SHEN Ji-hong, LI Ying, DAI Yun-tao, WANG Shu-juan. Identification and suppression of rain interference on X-band radar images[J]. Editorial Office of Optics and Precision Engineering, 2012,(8): 1846-1853 DOI： 10.3788/OPE.20122008.1846.

摘要

针对雷达进行海浪遥测时降雨对雷达波传播和海浪参数反演的影响

提出一种基于质量控制、三维表面粗糙度评定参数及信噪比的降雨资料识别与处理方法来提高海浪参数反演结果的准确度。首先

分析降雨对雷达遥测海浪及海面回波特性的影响

利用质量控制功能判定存在问题的图像。然后

根据回波图像的三维表面粗糙度的相关评定参数以及信噪比的具体变化趋势确定引起雷达图像产生问题的具体原因

确定受降雨影响的图像。最后对受降雨影响较轻的图像进行频域滤波处理

并将反演结果、未作处理的反演结果与参考值进行对比。实验结果显示:周期的相对误差减小了19.13%;波向测量误差减小了10.54°

表明该方法能有效地区分降雨与非降雨图像

并有效处理降雨图像

提高海浪参数反演的准确度。

Abstract

In consideration of the affects of rainfall on the radar wave propagation and wave parameter inversion in the sea cluter remote sensing by a radar

a new method combined quality control with the three-dimensional evaluation parameters of surface roughness and signal-to-noise ratio(SNR) is proposed to identify and deal with the rain data to improve the parameter accuracy. Firstly

it analyses the influence of the rainfall on the radar remote sensing and the characteristics of sea clutter

and uses the quality control to identify the data available or not. Then

according to the change trend of the three-dimensional evaluation parameters of surface roughness of radar images and SNR

the reasons that radar images are unavailable are determined and those images affected by the rainfall are identified. Finally

those images which are not seriously affected by rain are chosen to be filtered in frequency domain

and the inversion results with and without filtering are compared with the references.Experiment results show that the relative error of wave period has improved by 19.13%

and the measurement error of wave direction has decreased by 10.54 ?. This method can distinguish the rain and non-rain data

and can deal with rain data effectively to improve the accuracy of inversion results.

关键词

Keywords

references

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