基于点云观点的开源摄影测量的进展

IF 2.3 Q2 REMOTE SENSING
Harshit, Kamal Jain, Sisi Zlatanova
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引用次数: 0

摘要

利用摄影测量计算机视觉技术生成用于3D场景理解的点云数据在过去十年中取得了许多研究进展。开源研究和算法开发为研究人员和开发人员提供了从不同角度理解问题并提供多种解决方案的好处和智力能力。本研究的重点是摄影测量的开源领域,并试图为在点云背景下从2D图像中提取3D信息的最新发展提供一个概论。本研究以VisualSFM、WebODM、Colmap、Meshroom四种不同的免费开源软件为研究对象,从其点云生成能力和摄影测量工作流程的角度进行对比评估。每个软件还评估了它们的可用性和工作流功能。在研究区域获取基于无人机的照片,并在每个软件中使用相同的数据集和默认参数,使用各自的摄影测量工作流程生成密集的摄影测量点云。对于每一个密集点云,基于一些鲁棒参数对它们的质量和丰富信息进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements in open-source photogrammetry with a point cloud standpoint

Exploiting photogrammetric computer vision techniques to generate point cloud data for 3D scene understanding has seen many research improvements in the last decade. Open-source research and algorithm development have provided benefits and intellectual capacity to researchers and developers for understanding and providing multiple solutions to problems from different perspectives. This study focuses on the open-source domain for photogrammetry and is trying to provide a walkthrough for the recent developments in extracting 3D information from 2D images with the context of point clouds. Four different free and open-source software (VisualSFM, WebODM, Colmap, Meshroom) were studied from the perspective of their point cloud generation capability and photogrammetric workflow to provide a comparative assessment in this research. Each software is also assessed for their usability and workflow functions. UAV-based photographs were acquired for the study area and using the same datasets and default parameters in each software, dense photogrammetric point clouds were generated using their own photogrammetric workflow. For each of these dense point clouds, an assessment of their quality and enriched information based on some robust parameters is done.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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