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不同遥感方法在小岩露头三维建模中的比较。

Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops.

机构信息

Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech Republic.

Department of Geology and Pedology, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech Republic.

出版信息

Sensors (Basel). 2020 Mar 17;20(6):1663. doi: 10.3390/s20061663.

Abstract

This paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (SfM) software provide useful opportunities for rock outcrops mapping and 3D model creation. The accuracy of these surface reconstructions is crucial for quantitative structural analysis. However, these technologies require either a costly data acquisition device (Terrestrial LiDAR) or specialized image processing software (SfM). Recent developments in augmented reality and smartphone technologies, such as increased processing capacity and higher resolution of cameras, may offer a simple and inexpensive alternative for 3D surface reconstruction. Therefore, the aim of the paper is to show the possibilities of using smartphone applications for model creation and to determine their accuracy for rock outcrop mapping.

摘要

本文回顾了现代基于 3D 图像和光探测和测距 (LiDAR) 的表面重建技术在小露头高精度测量中的应用,以强调它们在构造地质学和景观保护中的潜力。LiDAR 和运动结构 (SfM) 软件为露头测绘和 3D 模型创建提供了有用的机会。这些表面重建的准确性对于定量结构分析至关重要。然而,这些技术要么需要昂贵的数据采集设备(地面 LiDAR),要么需要专门的图像处理软件(SfM)。增强现实和智能手机技术的最新发展,如处理能力的提高和相机分辨率的提高,可能为 3D 表面重建提供一种简单且廉价的替代方案。因此,本文的目的是展示使用智能手机应用程序进行模型创建的可能性,并确定它们在露头测绘中的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512c/7147376/bc86d1dac181/sensors-20-01663-g001.jpg

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