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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >PRELIMINARY STUDY ON EARTHQUAKE SURFACE RUPTURE EXTRACTION FROM UAV IMAGES
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PRELIMINARY STUDY ON EARTHQUAKE SURFACE RUPTURE EXTRACTION FROM UAV IMAGES

机译:无人机图像提取地震表面破裂的初步研究

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Because of the advantages of low-cost, lightweight and photography under the cloud, UAVs have been widely used in the field of seismic geomorphology research in recent years. Earthquake surface rupture is a typical seismic tectonic geomorphology that reflects the dynamic and kinematic characteristics of crustal movement. The quick identification of earthquake surface rupture is of great significance for understanding the mechanism of earthquake occurrence, disasters distribution and scale. Using integrated differential UAV platform, series images were acquired with accuracy POS around the former urban area (Qushan town) of Beichuan County as the area stricken seriously by the 2008 Wenchuan Ms8.0 earthquake. Based on the multi-view 3D reconstruction technique, the high resolution DSM and DOM are obtained from differential UAV images. Through the shade-relief map and aspect map derived from DSM, the earthquake surface rupture is extracted and analyzed. The results show that the surface rupture can still be identified by using the UAV images although the time of earthquake elapse is longer, whose middle segment is characterized by vertical movement caused by compression deformation from fault planes.
机译:由于低成本,轻巧和在云下照相的优势,近年来,无人机已广泛用于地震地貌学研究领域。地震表面破裂是典型的地震构造地貌,反映了地壳运动的动力学和运动学特征。快速识别地表破裂对了解地震发生机理,灾害分布和规模具有重要意义。使用集成的差分无人机平台,以精确的POS方式采集了北川县原市区(曲山镇)附近的系列图像,该地区是2008年汶川Ms8.0地震严重打击的地区。基于多视图3D重建技术,可从差分无人机图像中获得高分辨率DSM和DOM。通过从DSM导出的阴影图和纵横图,提取和分析地震表面破裂。结果表明,尽管经过的时间较长,但仍可以使用UAV图像识别表面破裂,其中段的特征是断层压缩变形引起的垂直运动。

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