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探地雷达不仅能够探测金属目标体,而且能够探测非金属目标体,而成为UX0和地雷探测的一种重要的浅部地球物理方法。但是在地雷和UX0探测中,目标体埋藏深度浅,在探地雷达数据信噪比较低情况下,地表和土壤层的反射严重干扰对目标体的拾取。本文采用自适用Chirplet变换来消除地表层和土壤层变化的干扰,并在Radon—Wigner分布的基础上,采用自适用Chirplet变换来拾取目标体的信号。通过对实际探测实验数据应用证明,本方法处理结果比传统的偏移方法具有较高的信噪比,并能清晰地提取目标体信号。
GPR not only detects metal targets, but also detects non-metal targets, making UXO and landmine detection an important shallow geophysical approach. However, in landmine and UXO exploration, the target is buried at a shallow depth. Under the low signal-to-noise ratio of ground-penetrating radar data, the reflection of surface and soil layers seriously interferes with the pick-up of the target. In this paper, the adaptive Chirplet transform is used to eliminate the interference of surface layer and soil layer changes. Based on the Radon-Wigner distribution, the adaptive Chirplet transform is used to pick up the target’s signal. Proved by the application of the actual detection experiment data, the proposed method has higher signal-to-noise ratio than the traditional migration method and can extract the target signal clearly.