Reconstruction of Ultrasound Reflector Images from Incomplete Data Using the Compressive Sensing Method
- 作者: Bazulin E.G.1, Sokolov D.M.1
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隶属关系:
- Scientific Production Center ECHO+
- 期: 卷 65, 编号 4 (2019)
- 页面: 432-443
- 栏目: Acoustic Signal Processing. Computer Simulation
- URL: https://journals.rcsi.science/1063-7710/article/view/186919
- DOI: https://doi.org/10.1134/S1063771019040031
- ID: 186919
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详细
The article investigates the possibility of reconstructing a reflector image using the compressive sensing (CS) method based on an incomplete set of echo signals measured by an antenna array in double or triple scanning mode. For comparison, we also considered reflector reconstruction methods used in ultrasonic testing (UT): the correlation, combined SAFT (C-SAFT), and maximum entropy (ME) methods. The last method allows reconstruction of superresolution images from an incomplete set of measured echo signals. Numerical and model experiments have demonstrated the possibility of reconstructing a reflector image with superresolution for a significant decrease in the amount of data used. Reconstructed CS images were compared with images reconstructed by other methods.
作者简介
E. Bazulin
Scientific Production Center ECHO+
编辑信件的主要联系方式.
Email: bazulin@echoplus.ru
俄罗斯联邦, Moscow, 123458
D. Sokolov
Scientific Production Center ECHO+
编辑信件的主要联系方式.
Email: Sokolov@echoplus.ru
俄罗斯联邦, Moscow, 123458
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