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• 地球探测与信息技术 • 上一篇    下一篇

基于小波包变换的SAR干涉图去噪研究

查显杰,傅容珊,戴志阳,刘 斌,邵志刚,薛霆虓   

  1. 中国科学技术大学 地球与空间科学学院,合肥 230026
  • 收稿日期:2007-09-27 修回日期:1900-01-01 出版日期:2008-05-26 发布日期:2008-05-26
  • 通讯作者: 查显杰

Noise Reduction for SAR Interferograms Based on Wavelet Packet Transform

ZHA Xian-jie, FU Rong-shan, DAI Zhi-yang, LIU Bin, SHAO Zhi-gang, XUE Ting-xiao   

  1. School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
  • Received:2007-09-27 Revised:1900-01-01 Online:2008-05-26 Published:2008-05-26
  • Contact: ZHA Xian-jie

摘要: 基于SAR复干涉图中噪声满足加性噪声模型,提出对复干涉图实部和虚部分别应用小波包软阈值方法的去噪方案。以Daubeachies小波为小波包基函数,对添加了噪声的模拟SAR干涉图进行去噪实验,发现三级小波包分解的去噪效果明显优于一级和二级分解。并进一步对实际的含噪干涉图进行了去噪实验,与小波包软阈值方法直接对干涉图去噪的结果进行了比较。实验结果证实了本文方案的有效性。

关键词: 小波包变换, 干涉图, 去噪, 软阈值

Abstract: Based on the noise in the complex interferograms satisfying an additive noise model, a noise reduction scheme using wavelet packet soft thresholding method to respectively remove the noise in the real and imaginary part of the complex interferograms is proposed. A denoising experiment has been performed through a simulated SAR interferogram contaminated by noise, adopting Daubeachies wavelet as the base function of wavelet packet transform. It is shown that the noise reduction effect of three-level wavelet packet decomposition obviously outperforms that of one-level and two-level wavelet packet decomposition. Moreover, a denoising experiment result has been achieved using a practical interferogram including noise with the proposed scheme, and has been compared with that obtained by directly processing interferogram employing wavelet packet soft thresholding method. The experiment results demonstrated the validity of the scheme proposed by this paper.

Key words: wavelet packet transform, interferograms, denoising, soft thresholding

中图分类号: 

  • TP751
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