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首页> 外文会议>Conference on Image and Signal Processing for Remote Sensing VIII, Sep 24-27, 2002, Agia Pelagia, Crete, Greece >Landmine detection using a time-sequence of Thermal Infrared images
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Landmine detection using a time-sequence of Thermal Infrared images

机译：使用热红外图像的时间序列进行地雷检测

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摘要

Thermal Infrared (TIR) techniques have some interesting capabilities that may assist in the detection of shallowly buried objects, in particular to help in the identification of landmine contaminated areas. The working principle of the sensor is the measurement of the thermal contrast on the soil surface, caused by the disturbance of the thermal flow due to the presence of the buried object with respect to the surroundings. This paper presents some preliminary results for the detection of buried antipersonnel landmines (APLs) with a thermal infrared imaging system. We describe an algorithm for the detection of landmine candidates by exploiting features in the image associated with the observed thermal contrast. Different threshold levels are applied to select groups of pixels that correspond to hot formations in the image, and are the ones that could indicate a target position. A logical AND combination that is then applied to the produced binary images, and can deliver an acceptable performance for landmine detection. However the method cannot distinguish landmine candidates from background variations sharing similar spatial patterns. Since the performance of the method depends strongly on the environmental conditions, a time series measurement is potentially a more promising approach to the whole problem of thermal IR measurement of buried objects. The time series of the IR data set presented in this paper was collected from the test lanes of JRC in Ispra, Italy, in the framework of the Multi-sensor Mine-signature (MsMs) measurement project. Passive Infrared imaging, landmine detection, and feature detection
机译：热红外（TIR）技术具有一些有趣的功能，可以帮助检测浅埋物体，特别是有助于识别地雷污染区域。传感器的工作原理是测量土壤表面的热对比度，该热对比度是由于埋入物体相对于周围环境的存在而引起的热流扰动引起的。本文介绍了使用热红外成像系统检测掩埋的杀伤人员地雷（APL）的一些初步结果。我们描述了一种通过利用与观察到的热对比相关的图像中的特征来检测地雷候选物的算法。应用不同的阈值级别来选择与图像中的热形成相对应的像素组，这些像素组可以指示目标位置。然后将逻辑AND组合应用于生成的二进制图像，并且可以为地雷检测提供可接受的性能。然而，该方法不能将地雷候选物与共享相似空间图案的背景变化区分开。由于该方法的性能在很大程度上取决于环境条件，因此时间序列测量可能是解决埋藏物体热IR测量整个问题的一种更有希望的方法。本文提出的红外数据集的时间序列是在多传感器地雷签名（MsMs）测量项目的框架下，从意大利伊斯普拉的JRC测试车道收集的。被动红外成像，地雷检测和特征检测

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