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基于小波变换和圆周期均值算法的InSAR干涉纹图噪声抑制

Interferogram Denoising of InSAR Based on Wavelet Transform and Periodic Mean Algorithm
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摘要 在分析InSAR干涉纹图特点的基础上,提出了一种基于小波变换和圆周期均值算法的干涉纹图噪声抑制方法,阐述了该方法的设计思想和具体算法实现步骤。利用德国欧洲空间局(ESA)提供的ERS-1/2串行SAR数据进行了实验,实验结果证明所提出方法不仅有效地抑制了干涉纹图中的噪声,而且很好地保留了干涉纹图中的边缘细节信息。 By analyzing the characteristics of interferogram, an interferogram denoising method of InSAR based on wavelet transform and periodic mean algorithm is proposed. Idea and procedure of the method are described in detail. Experiments have been carried out based on ERS-1/2 SAR tandem data and the results show that the proposed method can reduce interferogram noise efficiently as well as preserve edge and detail very well.
作者 刘实 毛建旭
机构地区 湖南大学电气与信息工程学院
出处 《测控技术》 CSCD 2007年第10期13-15,共3页 Measurement & Control Technology
基金 国家自然科学基金资助项目(60375001)
关键词 小波变换 INSAR 干涉纹图 噪声抑制 wavelet transform InSAR interferogram denoising
分类号 TN958 [电子电信—信号与信息处理]
  • 相关文献

参考文献6

  • 1Bamler R,Just D,et al.Phase statistics in interferograms with applications to synthetic aperture radar[J].Applied Optics,1994,33 (20):4 361 -4 368.
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二级参考文献7

  • 1BAMLER R, JUST D, et al. Phase Statistics in Interferograms with Applications to Synthetic Aperture Radar[J]. Applied Optics, 1994, 33(20): 4361-4368.
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  • 7HU Chang-hua, XIA Jun, et al. Wavelet Analysis of System Analysis Design Based on MATLAB[ M ]. Xian: Xian Electronic Science and Technology University Press, 1999. 241-242. (in Chinese)

共引文献38

测控技术
2007年 第10期

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