分布式声传感器的事件分类研究

Rishika, Hitesh Mehta
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引用次数: 0

摘要

通过对声信号进行图像处理,并对RGB和灰色图像进行统计特征检测,对分布式声传感器的事件进行分类。我们通过在光纤内部引入光脉冲并收集瑞利背散射信号来获取数据。该数据包含不同事件的应变信息。我们已经使用这种图像处理方法对步行、挖掘和自行车项目进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Event Classification From Distributed Acoustic Sensor
We classify the events of distributed acoustic sensor by observing acoustic signals with image processing and statistical feature detection of RGB and grey image. We obtain data by introducing light pulse inside the fiber and collecting the Rayleigh back scattered signals. This data contains strain information of different events. We have used this image processing for classification of walking, digging, and cycling events.
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