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Image Processing-Based Mine Detection Techniques: A Review

机译：基于图像处理的地雷探测技术

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摘要

Various mine detection techniques are reviewed with particular emphasis on signal and image processing methods. Based on the target, mines are classified into two types; anti-tank mine (ATM) and anti-personnel mine (APM). Because of the variety of mine types, current mine detection techniques are diversified. The assumption is made that most mine detection techniques consist of sensor, signal processing, and decision processes. For the sensor part, ground penetration radar (GPR), infrared (IR), and ultrasound (US) sensors are reviewed and their characteristics are summarized for the corresponding output signals. For the signal processing and decision parts, a set of image processing techniques including filtering, enhancement, feature extraction, and segmentation are surveyed. Segmentation is used to extract mine signal from various competing signals. For most image processing techniques covered by this paper, mine detection related experimental results are included or reproduced from existing works.
机译：审查了各种地雷检测技术，尤其着重于信号和图像处理方法。根据目标，地雷分为两类：反坦克地雷（ATM）和杀伤人员地雷（APM）。由于地雷类型的多样性，当前的地雷检测技术是多种多样的。假定大多数地雷检测技术由传感器，信号处理和决策过程组成。对于传感器部分，对地面渗透雷达（GPR），红外（IR）和超声（US）传感器进行了综述，并总结了其对应于相应输出信号的特性。对于信号处理和决策部分，调查了一组图像处理技术，包括滤波，增强，特征提取和分段。分割用于从各种竞争信号中提取地雷信号。对于本文涵盖的大多数图像处理技术，包括或复制现有工作中与探雷相关的实验结果。

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