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HOU Shu-juan, WU Si-liang. Curvelet Transform-Based Denoising Method for Doppler Frequency Extraction[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2007, 16(4): 455-459.
Citation: HOU Shu-juan, WU Si-liang. Curvelet Transform-Based Denoising Method for Doppler Frequency Extraction[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2007, 16(4): 455-459.
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Curvelet Transform-Based Denoising Method for Doppler Frequency Extraction

  • School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2007-03-09
    Abstract
  • A novel image denoising method based on curvelet transform is proposed in order to improve the performance of Doppler frequency extraction in low signal-noise-ratio (SNR) environment. The echo can be represented as a gray image with spectral intensity as its gray values by time-frequency transform. And the curvelet coefficients of the image are computed. Then an adaptive soft-threshold scheme based on dual-median operation is implemented in curvelet domain. After that, the image is reconstructed by inverse curvelet transform and the Doppler curve is extracted by a curve detection scheme. Experimental results show the proposed method can improve the detection of Doppler frequency in low SNR environment.
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