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Processed infrared images of plastic and metallic landmines in an Argentine project

机译:阿根廷项目中处理的塑料和金属地雷的红外图像

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摘要

A great development of technologies for the detection of buried landmines took place worldwide in the last years. In Argentina, a project for the development of an autonomous robot with sensors for landmines detection was recently approved by the Science and Technology National Agency. Within this project we are studying the detection of landmines by infrared radiation.Metallic and plastic objects with landmines shape and dimension were buried at different depths from 1 to 4 cm in soil and sand. Periodic natural warming by solar radiation or artificial warming by means of electric resistances or flash lamps were applied. Infrared images were obtained in the 8-12 micrometers spectral band with a microbolometer camera. The IR images were processed by different methods to obtain a definition as good as possible of the buried objects. After this a B-Spline method was applied to detect the targets contours and determine shape and dimensions of them so as to distinguish landmines from other objects. We are looking for a landmine detection method as simple and fast possible, with detection capability of metallic and plastic landmines and an acceptable false alarm rate which would be reduced when applied with other detection methods as GPR and electromagnetic induction. We present obtained and processed images and results obtained to distinguish buried landmines from other buried objects.
机译:过去几年中,全球范围内探测埋藏地雷的技术有了长足发展。在阿根廷,科学技术国家局最近批准了一个开发带有地雷检测传感器的自动机器人的项目。在这个项目中,我们正在研究通过红外辐射探测地雷的方法,将具有地雷形状和尺寸的金属和塑料物体埋入土壤和沙子中1至4 cm的不同深度。进行定期的太阳辐射自然加热或通过电阻或闪光灯的人工加热。用微测辐射热计照相机在8-12微米光谱带中获得红外图像。通过不同的方法对红外图像进行处理,以获得尽可能高的掩埋物体清晰度。此后,应用B样条方法检测目标轮廓并确定其形状和尺寸,从而将地雷与其他物体区分开。我们正在寻找一种尽可能简单,快速的地雷检测方法,该方法具有金属和塑料地雷的检测能力以及可接受的误报率,当与其他探伤方法(如GPR和电磁感应)结合使用时,误报率将会降低。我们提出了获得和处理的图像以及获得的结果,以区分掩埋的地雷与其他掩埋的物体。

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