Abstract:  The electromagnetic method has a good response to harmful unexploded ordnance and harmless metal targets, so the false positive detection rate is high, resulting in the subsequent cleaning work is extremely time- consuming. To solve this problem, portable and towed transient electromagnetic detection systems is used to detect multiple unexploded bombs and harmless targets, and estimate the characteristic response of underground targets. According to the estimated electromagnetic characteristics, an accurate classification of unexploded ordnance and harmless targets is achieved based on the SVM( Support Vector Machine) algorithm, and the influence of noise on the classification results is discussed. The results show that the classification model trained by the characteristic responses at different times and the fitting parameters of target response can recognize and classify the targets effectively, the accuracy of target classification has reached 100% , and 59 targets have been recognized successfully in the actual verification. In contrast, the classification method based on characteristic response has fast calculation and simple way of processing, while the classification method based on fitting parameters has strong anti-interference ability and higher accuracy. 

Key words: transient electromagnetic method (TEM); unexploded ordnance (UXO)')">

transient electromagnetic method (TEM); unexploded ordnance (UXO), characteristic response, support vector machine (SVM), target classification