Detection of Magnetic Anomaly Signal Based on Information Entropy of Differential Signal
Detection of Magnetic Anomaly Signal Based on Information Entropy of Differential Signal
复制标题
DOI：
10.1109/lgrs.2018.2797365
复制
发表时间：
2018-02
影响因子：
4.8
通讯作者：
Ying Tang;Zhongyan Liu;M. Pan;Qi Zhang-;Chengbiao Wan;Feng Guan;Fenghe Wu;Dixiang Chen
中科院分区：
文献类型：
--
作者：
Ying Tang;Zhongyan Liu;M. Pan;Qi Zhang-;Chengbiao Wan;Feng Guan;Fenghe Wu;Dixiang Chen
磁异常检测是一种有效的铁磁目标检测方法，其性能主要受背景地磁噪声的限制。传统的检测方法依赖于几个先验假设的目标或磁噪声的概率组成的外部地磁噪声和传感器的固有噪声，在这封信中，我们提出了一个新的估计信息熵的差分信号采集的一对磁传感器检测磁噪声模式的任何变化。首先，利用核平滑方法估计差分信号的磁噪声概率密度函数。然后，基于差分信号的磁噪声概率密度函数的最小熵检测器被用于检测磁异常目标。最后根据虚警概率确定检测阈值，用于异常判断。为了验证该方法的有效性，进行了实验，实验结果表明，该方法比传统方法具有更好的检测性能。
Magnetic anomaly detection is an effective approach for detecting the visually obscured ferromagnetic target, and its performance is mainly limited by background geomagnetic noise. In contrast to the traditional detection methods that rely on several a priori assumptions regarding the target or the probability of magnetic noise consisting of external geomagnetic noise and intrinsic sensor noise, we present, in this letter, a new estimator of information entropy for differential signal acquired by a pair of magnetic sensors to detect any changes in the magnetic noise pattern. First, the magnetic noise probability density function (PDF) of differential signal is estimated by using the kernel smoothing method. Then, the minimum entropy detector based on the magnetic noise PDF of differential signal is used to detect the magnetic anomaly target. Finally, according to the probabilities of false alarm, the detection threshold can be obtained to be used for abnormal judgment. In order to verify the effectiveness of the proposed method, the experiment is conducted, and the results demonstrate that the proposed method has better detection performance than that of traditional methods.