毫米波人体扫描仪的自动目标识别方法

2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT) Pub Date : 2016-06-05 DOI:10.1109/ICMMT.2016.7762489

Niu Yijie, Wang Ziye, Qiao Lingbo, Zhao Ziran

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引用次数: 1

摘要

目标自动识别是毫米波人体扫描仪的一项重要功能。基于显著性和稀疏编码原理，提出了一种毫米波人体图像处理与识别的新方法。该方法根据毫米波图像的形状、纹理、灰度等特征，实现了对隐藏物体的自动识别。大量实验验证了该方法对隐藏在人体不同位置的物体的检测精度。

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Automatic target recognition method for millimeter-wave body scanner

Automatic target recognition is a significant function of millimeter-wave body scanner. Based on the principle of saliency and sparse coding, this paper proposes a new method for millimeter-wave body image processing and recognition. According to the characteristics such as shape, texture and gray level of the millimeter wave image, the method realizes automatic recognition for concealed objects. A large number of experiments verify the accuracy of the method on detecting objects concealed in different position of human body.

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来源期刊

2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT)

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