SIGNAL PROCESSING ALGORITHM FOR DETECTING RED PALM WEEVILS USING OPTICAL FIBER

A method for determining tree infestation includes placing (1700) an optical fiber (220) around a trunk of a tree; recording (1702) with a distributed acoustic sensor (DAS) box (201) a Rayleigh signal reflected from the tree， along the optical fiber (220); processing (1704) the Rayleigh signal to obtain a processed signal; calculating (1706) a signal-to-noise ratio (SNR) of the processed signal for the tree; and comparing (1708) the SNR to a threshold value and counting an alarm if the SNR is larger than the threshold value. The SNR is defined as a ratio between (1) a maximum value of a processed signal and (2) a minimum value of the processed signal.

一种树木虫害判定方法包含如下步骤：(1700) 将光纤（optical fiber）(220)缠绕于树木树干外周；(1702) 通过分布式声学传感器（distributed acoustic sensor, DAS）盒(201)采集沿该光纤(220)从树木反射的瑞利信号（Rayleigh signal）；(1704) 对该瑞利信号进行处理以得到处理后信号；(1706) 计算该处理后信号针对待测树木的信噪比（signal-to-noise ratio, SNR）；(1708) 将该信噪比与预设阈值进行比较，若信噪比大于阈值则计为一次告警。所述信噪比被定义为：(1) 处理后信号的最大值与(2) 处理后信号的最小值的比值。