利用超声散射波识别三维物体的神经网络

IEEE 1988 Ultrasonics Symposium Proceedings. Pub Date : 1988-10-02 DOI:10.1109/ULTSYM.1988.49446

M. Yoneyama, S. Watanabe, H. Kitagawa, T. Okamoto, T. Morita

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引用次数: 14

摘要

以超声波识别和真实重建物体为目标，作者设计了一种将现有的声全息技术与神经网络相结合的系统。该系统的优点是能够对一组接收器接收到的相当模糊的超声波进行分析，然后忠实地重建图像。这项研究的第一步是平面物体的识别。

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Neural network recognizing 3-dimensional object through ultrasonic scattering waves

With the goal of recognizing and faithfully reconstructing objects using ultrasonic waves, the authors devised a system which combines existing acoustic holography with neural networks. The merits of this system is its ability to analyze rather vague ultrasonic waves received by an array of receivers and then to faithfully reconstruct the image. The first step in this research has been the recognition of planar objects.<>

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IEEE 1988 Ultrasonics Symposium Proceedings.

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