用于灾害现场监测的无人机图像快速地理编码方法

H. Nho, D. Shin, S. Kim
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引用次数: 1

摘要

摘要最近,无人机被用于各种领域,如摄影,精准农业,远程监控,测量,绘图和灾害管理。特别是,无人机可以获取实时数据并进入难以到达的区域,这有利于快速生成空间信息。空间信息可以通过在UAV上安装一个照相机和使用从GPS/INS传感器获得的位置/位置信息执行图像数据的地理编码处理来产生。在地理编码过程中使用多个gcp可以提高图像的定位精度。但由于测量耗费大量时间,不利于在需要紧急数据生成的灾害现场使用。为此,本文提出了利用最小GCP对无人机图像进行快速地理编码的方法。通过该过程获得的结果可作为灾害和突发事件现场监测和决策的基础数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV IMAGE FAST GEOCODING METHOD FOR DISASTER SCENE MONITORING
Abstract. Recently, UAVs are being used in various fields such as photography, precision agriculture, remote monitoring, surveying, mapping, and disaster management. In particular, UAVs can acquire real-time data and access hard-to-reach areas, which is advantageous for rapid spatial information generation. Spatial information can be generated by mounting a camera on the UAV and performing the geocoding process of image data using the location/location information acquired from the GPS/INS sensor. The use of multiple GCPs during the geocoding process can increase the image position accuracy. However, since a lot of time is consumed for surveying, it is disadvantageous to be used in disaster fields that require urgent data generation. Therefore, in this study, fast geocoding process of UAV image using the minimum GCP is proposed. The results obtained through this process can be used as basic data for on-site monitoring and decision-making in disasters and emergencies.
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