Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (5): 5-6.doi: 10.16180/j.cnki.issn1007-7820.2019.05.002

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Research on Ultrasonic 3D Target Recognition Based on Visual and Non-Visual Feature Fusion

SONG Shoupeng,SHEN Jingjing,LU Cuie   

  1. School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China
  • Received:2018-04-11 Online:2019-05-15 Published:2019-05-06
  • Supported by:
    National Natural Science Foundation of China(51375217)


Nowadays, the main method of ultrasonic 3D target recognition was using sensors to obtain one or more one-dimensional echo in space and getting the 3D information of the target body by signal processing to realize the 3D target recognition. These methods generally exist the problem of low recognition rate and poor robustness,which restrict the popularization and application of this technology. In this paper, an ultrasonic 3D target recognition method based on visual and non-visual feature fusion was proposed. This method combined the target body echo signal processing method with the synthetic aperture method, carried out data fusion of the extracted target information in the feature layer and realized the classification recognition by the BP neural network, by which the shortage of existing methods can be significantly improved. Experiments on three kinds of artificial targets showed that the method can significantly improve the 3D recognition rate of the defect which can be kept above 90%, and the robustness was also improved obviously.

Key words: data fusion, ultrasonic, 3D target recognition, synthetic aperture, visual, non-visual, feature extraction

CLC Number: 

  • TP391