文件名称：Structure from Motion (SFM) Photogrammetry
文件大小：309KB
文件格式：PDF
更新时间：2022-03-23 09:14:10
SFM Structure 三维建模
地形数据测量是许多地貌研究应用程序的基本方面，尤其是那些包括地形监测和地形变化研究的应用程序。然而，大多数测量技术需要相对昂贵的技术或专门的用户监督。 Motion（SfM）摄影测量技术的结构通过允许使用消费级数码相机和高度自动化的数据处理（可以免费使用）减少了这两个限制。因此，SfM摄影测量法提供了快速，自动化和低成本获取3D数据的可能性，这不可避免地引起了地貌界的极大兴趣。在此贡献中，介绍了SfM摄影测量的基本概念，同时也承认了其传统。举几个例子来说明SfM在地貌研究中的应用潜力。特别是，SfM摄影测量为地貌学家提供了一种工具，用于在一定范围内对3-D形式进行高分辨率表征，并用于变化检测。 SfM数据处理的高度自动化既创造了机遇，也带来了威胁，特别是因为用户控制倾向于将重点放在最终产品的可视化上，而不是固有的数据质量上。因此，这项贡献旨在指导潜在的新用户成功地将SfM应用于一系列地貌研究。 关键词：运动结构，近距离摄影测量，智能手机技术，测量系统，表面形态echnology reduces both these constraints by allowing the use of consumer grade digital cameras and highly automated data processing, which can be free to use. SfM photogrammetry therefore offers the possibility of fast, automated and low-cost acquisition of 3-D data, which has inevitably created great interest amongst the geomorphological community. In this contribution, the basic concepts of SfM photogrammetry are presented, whilst recognising its heritage. A few examples are employed to illustrate the potential of SfM applications for geomorphological research. In particular, SfM photogrammetry offers to geomorphologists a tool for high-resolution characterisation of 3-D forms at a range of scales and for change detection purposes. The high level of automation of SfM data processing creates both opportunities and threats, particularly because user control tends to focus upon visualisation of the final product rather than upon inherent data quality. Accordingly, this contribution seeks to guide potential new users in successfully applying SfM for a range of geomorphic studies.