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Earthquake Damage Data Collection Using Omnidirectional Imagery

机译:使用全向影像收集地震破坏数据

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The unique perspectives and viewpoints offered by omnidirectional camera technology has the potential to help improve the outcomes of technical post-earthquake reconnaissance missions. Omnidirectional imagery can be used to virtually a??walk througha?? damaged streets post hoc with a 360-degree, immersive view. A common reconnaissance mission aim is to accurately collect damage data; however, there are time challenges for surveyors in the field. The manuscript explores the potential for using omnidirectional imagery to improve damage surveying, firstly by comparing results from damage surveys completed in the field with results obtained using omnidirectional images collected during a mission and surveyed by an experienced engineer virtually and secondly by comparing damage assessment obtained through omnidirectional imagery collected on the ground with the EU Copernicus damage assessment maps. The omnidirectional imagery data was collected during two separate Earthquake Engineering Field Investigation Team post-earthquake reconnaissance missions, namely the area affected by the 2016, 7.8 Muisne Earthquake in Ecuador and the area struck by the 2016, 6.2 Amatrice earthquake in Italy. Notwithstanding the diverse geographic scale, terrain and urban context of the two reconnaissance missions, the results consistently show significant capabilities for this technology in the identification of construction typologies, number of storeys, aggregated a??lowa?? and a??higha?? damage grades, and failure modes. The work highlights potential issues with correct identification of disaggregated lower damage grades (e.g. European Macroseismic Scale (EMS-98) damage grades 0 to 3). Challenges identified in the virtual survey process included poor image quality, insufficient photo sphere captures, and obstructions such as trees, walls or vehicles. The omnidirectional imagery represents a substantial improvement in damage assessment accuracy in respect to satellite imagery, especially for lower damage grades, while it is an essential tool for comprehensive surveys in reduced access zones with high levels of damage.
机译:全向摄像机技术提供的独特视角和观点可能有助于改善技术性的地震后侦察任务的成果。全向图像实际上可以用于“遍历”?损毁的街道具有360度的沉浸式视野。侦察任务的共同目标是准确收集伤害数据;然而,现场测量师面临时间挑战。该手稿探索了使用全向影像改善损害调查的潜力,首先是将实地完成的损害调查的结果与任务期间收集的并由经验丰富的工程师进行调查的全向影像获得的结果进行比较,其次是通过比较使用欧盟哥白尼损害评估图在地面上收集的全向图像。全向影像数据是在两个独立的地震工程现场调查团队在地震后的侦察任务中收集的,分别是2016年厄瓜多尔7.8地震和2016年意大利6.2级阿马特里奇地震袭击的地区。尽管两次侦察任务的地理范围,地形和城市背景各不相同,但结果始终显示出该技术在识别建筑类型,层数,总计“低”方面的重要能力。和一个?higha?损坏等级和故障模式。该工作着重指出了正确识别分类的较低损害等级(例如欧洲宏观地震等级(EMS-98)损害等级0至3)的潜在问题。虚拟调查过程中发现的挑战包括:图像质量差,全景照片捕获不足以及树木,墙壁或车辆等障碍物。与卫星图像相比,全向图像代表了损伤评估准确性的显着提高,尤其是对于损伤等级较低的卫星,它是在损伤程度较高的缩小进入区域进行全面调查的重要工具。

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