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A UAV-GPR Fusion Approach for the Characterization of a Quarry Excavation Area in Falconara Albanese, Southern Italy

机译:一种UAV-GPR融合方法,用于南部意大利南部的法尔科纳拉阿尔巴尼文采石场挖掘区

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The characterization of a quarry site which is suitable for railway ballast aggregate production represents a big challenge for the mining industry. The knowledge of structural discontinuities within local geological materials is fundamental to guide mining operations, optimize investments, and guarantee quarry security. This research work presents an innovative methodology for the subsurface investigation of a quarry excavation area down to a depth of about 50 m in Falconara Albanese, Calabria, Italy. The proposed methodological approach incorporates photogrammetry, drone technology, and GPR data acquisition and processing. Photogrammetry represents the first step for obtaining a 3D topographical model reconstruction of the whole quarry, helping to detail the acquisition approach and properly plan the subsequent drone survey. In particular, two 120 MHz antennas have been mounted on the drone and two profiles have been acquired above and across the quarry. Results show the presence of fractured material and demonstrate the applicability of the method for identification of areas that are more suitable for railway ballast production. The presented method is therefore capable of detecting subsurficial fractures at a quarry site by means of a relatively fast and cost-effective procedure. Results are achieved within the framework of an industry project.
机译:适用于铁路镇流器的采石场的表征是矿业业的大挑战。在当地地质材料中的结构不连续性知识是指导采矿业务,优化投资和保证采石场安全的基础。该研究工作提出了一种创新方法,用于将采石场挖掘区域的地下调查到Falconara Albanese,意大利Calabria,Calabria的深度约为50米。所提出的方法方法包括摄影测量,无人机技术和GPR数据采集和处理。摄影测量代表了获得整个采石场的3D地形模型重建的第一步,有助于详细说明采集方法并正确规划随后的无人机调查。特别地,已经安装了两种120 MHz天线,并且已经在上面获取了两种型材,并且在采石场上进行了两种型材。结果表明存在裂缝材料,并证明该方法的适用性识别更适合铁路镇流器生产的区域。因此,所提出的方法能够通过相对快速和成本效益的程序检测采石场的海外骨折。结果是在行业项目的框架内实现的。

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