中巴经济走廊专题 最新来稿(未评审) 版本 ZH1
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2005~2009年基于SfM法国Drôme河无人机遥感的正射影像和数字高程模型
Orthophoto mosaics and DEM dataset of the Drôme River remotely sensed with a UAV (2005-2009)
: 2018 - 05 - 21
: 2018 - 05 - 25
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摘要&关键词
摘要:近年来,出现一种低成本、高效率获取高分辨率3维数据的新型摄影测量方法,被称为运动与结构重建(SfM,Structure from Motion)。SfM技术作为数字测量领域最新且最为重要的进步,直到2011年才被应用于地球科学领域中。使用该方法生成各种高质量的正射影像图、三维点云和数字高程模型(DEM,Digital Elevation Model)可用来检测地形变化,并以此推断冰川、河流、沿海、地震、滑坡、火山等环境的动态过程。本文基于法国Drôme河2005~2009年无人机影像的数据,利用新型的SfM摄影测量方法,快捷地获取高精度的正射影像和DEM,并通过检查点将数据与差分全球定位系统测量数据,再进行残差统计,误差为0.13~0.23 m。利用历史存档无人机影像结合最新SfM摄影测量方法获得的数据集,为描述河流地形地貌特征提供了高精度数据,有助于对河流地貌进行监测和变化分析。
关键词:河流遥感;运动与结构重建;无人机;正射影像;数字高程模型
Abstract & Keywords
Abstract: In the past few years, a new low-cost, efficient photogrammetry mapping method called structure from motion (SfM) has been applied to the high spatial resolution three-dimensional topographic data collection. As the latest and a very significant advance in digital surveying, SfM has only been applied to the geosciences to produce orthophoto mosaics, three-dimensional (3D) point clouds, and digital elevation model (DEM) since 2011. SfM derived products have been produced to detect changes and hence to infer dynamic processes in glacial, fluvial, coastal, hillslope, dryland, volcanic, and shallow underwater environments. In this paper, historical imagery archives of 2005-2009 acquired from a UAV have been processed using SfM to create hyper spatial resolution orthophoto mosaics and DEM. A statistical analysis indicates that the results have an overall accuracy of about 0.13-0.23m. Precise and detailed data derived from archive UAV imagery with SfM are essential descript fluvial geomorphology and also helpful to detect, monitor and predict fluvial geomorphic process.
Keywords: fluvial remote sensing; UAV; SfM; orthophoto mosaics; DEM
稿件与作者信息
崔丹丹
cuidandan
张耀南
zhangyaonan
yaonan@lzb.ac.cn
科瑞斯特•米歇尔
Kristell Michel
赫夫•派戈
Hervé Piégay
出版历史
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