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A Magnetic Measurement System and Identification Method for Buried Magnetic Materials Within Wet and Dry Soils

机译：干湿土壤中埋藏磁性物质的磁测量系统和识别方法

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In this paper, a new magnetic measurement system is developed to determine upper surfaces of buried magnetic materials, particularly land mines. This measurement system uses the magnetic-anomaly-detection method. It also has intelligent identification software based on an image matching algorithm. It is aimed to determine and identify the buried ferromagnetic materials with minimum energy consumption. It is concentrated on the detection and identification of the shapes of upper surfaces of buried magnetic materials in dry and wet conditions. The effect of humidity in the detection process for detection is tested. In this paper, we used sensor images to identify various ferromagnetic materials and similar objects. Sensor images of soils at various humidities covering the objects were obtained. We used the speeded-up-feature-transform algorithm in the comparison process of the images. Dry soil sample images match with the corresponding wet soil samples with the highest matching rate. The images for different objects can easily be distinguished by the matching process.
机译：在本文中，开发了一种新的磁测量系统来确定埋藏的磁性材料（尤其是地雷）的上表面。该测量系统使用磁异常检测方法。它还具有基于图像匹配算法的智能识别软件。目的是确定和识别具有最低能耗的埋入铁磁材料。它专注于在干燥和潮湿条件下检测和识别埋藏磁性材料上表面的形状。测试了湿度在检测过程中的影响。在本文中，我们使用传感器图像来识别各种铁磁材料和类似物体。获得了覆盖对象的各种湿度下的土壤的传感器图像。我们在图像的比较过程中使用了加速特征变换算法。干土样品图像与具有最高匹配率的相应湿土样品匹配。通过匹配过程可以轻松地区分不同对象的图像。

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