...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Topographic structure from motion: A new development in photogrammetric measurement
【24h】

Topographic structure from motion: A new development in photogrammetric measurement

机译：运动产生的地形结构：摄影测量的新发展

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The production of topographic datasets is of increasing interest and application throughout the geomorphic sciences, and river science is no exception. Consequently, a wide range of topographic measurement methods have evolved. Despite the range of available methods, the production of high resolution, high quality digital elevation models (DEMs) requires a significant investment in personnel time, hardware and/or software. However, image-based methods such as digital photogrammetry have been decreasing in costs. Developed for the purpose of rapid, inexpensive and easy three-dimensional surveys of buildings or small objects, the 'structure from motion' photogrammetric approach (SfM) is an image-based method which could deliver a methodological leap if transferred to geomorphic applications, requires little training and is extremely inexpensive. Using an online SfM program, we created high-resolution digital elevation models of a river environment from ordinary photographs produced from a workflow that takes advantage of free and open source software. This process reconstructs real world scenes from SfM algorithms based on the derived positions of the photographs in three-dimensional space. The basic product of the SfM process is a point cloud of identifiable features present in the input photographs. This point cloud can be georeferenced from a small number of ground control points collected in the field or from measurements of camera positions at the time of image acquisition. The georeferenced point cloud can then be used to create a variety of digital elevation products. We examine the applicability of SfM in the Pedernales River in Texas (USA), where several hundred images taken from a hand-held helikite are used to produce DEMs of the fluvial topographic environment. This test shows that SfM and low-altitude platforms can produce point clouds with point densities comparable with airborne LiDAR, with horizontal and vertical precision in the centimeter range, and with very low capital and labor costs and low expertise levels.
机译：地形数据集的产生在整个地貌科学中越来越引起人们的兴趣和应用，河流科学也不例外。因此，已经发展了各种各样的地形测量方法。尽管有许多可用的方法，但要生产高分辨率，高质量的数字高程模型（DEM），需要在人员时间，硬件和/或软件上进行大量投资。但是，基于图像的方法（例如数字摄影测量法）的成本一直在下降。运动，摄影测量法（SfM）是为快速，廉价且容易地对建筑物或小型物体进行三维勘测而开发的，它是一种基于图像的方法，如果转移到地貌应用中，可能会带来方法上的飞跃。很少的培训，而且非常便宜。通过使用在线SfM程序，我们从使用免费和开源软件的工作流程中生成的普通照片创建了河流环境的高分辨率数字高程模型。此过程基于三维空间中照片的导出位置，根据SfM算法重建现实世界场景。 SfM过程的基本产品是输入照片中存在的可识别特征的点云。该点云可以从野外收集的少量地面控制点或图像采集时摄像机位置的测量中进行地理参考。然后可以将地理参考点云用于创建各种数字高程产品。我们研究了SfM在美国得克萨斯州Pedernales河中的适用性，在该河中，使用了手持黑锂矿拍摄的数百张图像来生成河流地形环境的DEM。该测试表明，SfM和低空平台可以产生点云，其点密度可与机载LiDAR媲美，水平和垂直精度在厘米范围内，资本和人工成本非常低，专业知识水平也很低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号