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NEAR REAL-TIME GEOREFERENCE OF UMANNED AERIAL VEHICLE IMAGES FOR POST-EARTHQUAKE RESPONSE

Wang ShuminWang XiaoqingDou AixiaYuan XiaoxiangDing LingDing Xiang

Institute of Earthquake Forecasting,China Earthquake Administration

摘要:The rapid collection of Unmanned Aerial Vehicle(UAV) remote sensing images plays an important role in the fast submitting disaster information and the monitored serious damaged objects after the earthquake. However, for hundreds of UAV images collected in one flight sortie, the traditional data processing methods are image stitching and three-dimensional reconstruction, which take one to several hours, and affect the speed of disaster response. If the manual searching method is employed, we will spend much more time to select the images and the find images do not have spatial reference. Therefore, a near-real-time rapid georeference method for UAV remote sensing disaster data is proposed in this paper. The UAV images are achieved georeference combined with the position and attitude data collected by UAV flight control system, and the georeferenced data is organized by means of world file which is developed by ESRI. The C # language is adopted to compile the UAV images rapid georeference software, combined with Geospatial Data Abstraction Library(GDAL). The result shows that it can realize rapid georeference of remote sensing disaster images for up to one thousand UAV images within one minute, and meets the demand of rapid disaster response, which is of great value in disaster emergency application.
会议名称:

The ISPRS Technical Commission III Midterm Symposium on "Developments, Technologies and Applications in Remote Sensing"

会议时间:

2018-05-07

会议地点:

中国北京

  • 专辑:

    基础科学; 工程科技Ⅱ辑; 信息科技

  • 专题:

    地质学; 地球物理学; 工业通用技术及设备; 自动化技术

  • 分类号:

    P315.9;TP79

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