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基于无人机影像的潮滩数字高程模型碗状变形校正

Rectification of Bowl-Shape Deformation of Tidal Flat DEM derived from UAV Imaging.

作者信息

Lee Hyoseong, Han Dongyeob

机构信息

Department of Civil Engineering, Sunchon National University, 255 Jungangro, Suncheon, Jellanamdo 57922, Korea.

Department of Civil Engineering, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju 61186, Korea.

出版信息

Sensors (Basel). 2020 Mar 13;20(6):1602. doi: 10.3390/s20061602.

Abstract

It is necessary to periodically obtain topographic maps of the geographical and environmental characteristics of tidal flats to systemically manage and monitor them. Accurate digital elevation models (DEMs) of the tidal flats are produced while using ground control points (GCPs); however, it is both complicated and difficult to conduct GPS surveys and readings of image coordinates that correspond to these because tidal flat areas are not easy to access. The position and distribution of GCPs affect DEMs, because the entire working area cannot be covered during a survey. In this study, a least-squares height-difference (LHD) DEM matching method with a polynomial model is proposed to increase the number of DEM grids while using a presecured precise DEM to rectify the distortion and bowl effect produced by unmanned aerial vehicle (UAV) images. The most appropriate result was obtained when the translation parameters were quadratic curve polynomials with an increasing number of grids and the rotation parameters were constant. The experimental results indicated that the proposed method reduced the distortion and eliminated the error caused by the bowl effect while only using a reference DEM.

摘要

有必要定期获取潮滩地理和环境特征的地形图,以便对其进行系统管理和监测。利用地面控制点(GCP)生成潮滩精确的数字高程模型(DEM);然而,由于潮滩区域不易进入,进行与这些控制点对应的GPS测量和图像坐标读取既复杂又困难。GCP的位置和分布会影响DEM,因为在一次测量中无法覆盖整个工作区域。在本研究中,提出了一种基于多项式模型的最小二乘高差(LHD)DEM匹配方法,以在使用预先获得的精确DEM纠正无人机(UAV)图像产生的畸变和盆状效应的同时增加DEM网格数量。当平移参数为网格数量增加的二次曲线多项式且旋转参数为常数时,获得了最合适的结果。实验结果表明,所提出的方法在仅使用参考DEM的情况下减少了畸变并消除了盆状效应引起的误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b55/7147167/b1d901cd0a46/sensors-20-01602-g001.jpg

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