为地理空间应用扩展三维几何文件格式

IF 2.3 Q2 REMOTE SENSING
Christoph Praschl, Oliver Krauss
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引用次数: 0

摘要

本研究涉及地理空间几何三维模型的表示和交换,这是户外混合现实、城市规划和灾害风险管理等各种应用的共同要求。多年来,人们开发了多种文件格式来满足不同的需求,提供了广泛的支持功能和目标应用领域。然而,作为交换地理空间信息的基础,JavaScript Object Notation 和可扩展标记语言等经典交换格式一直备受青睐,而 Wavefront 的 OBJ、斯坦福的 PLY 和 OFF 等常见几何信息交换格式则被排除在外。为了弥补这一差距,我们的研究为上述几何文件格式提出了三种新的扩展格式,其主要重点是在有效表示地理空间数据的同时最大限度地降低存储要求,并允许存储语义元信息。这些扩展名为 GeoOBJ、GeoOFF 和 GeoPLY,可显著降低存储需求,与标准文件格式相比,存储需求降低了 14% 到 823%,同时保留了对足够数量语义特征的支持。通过广泛的评估,我们证明了这些拟议扩展在地理空间信息表示方面的适用性,展示了它们在提供低存储开销和无缝整合关键语义特征方面的功效。这些发现强调了 GeoOBJ、GeoOFF 和 GeoPLY 作为高效地理空间数据表示法的可行解决方案的潜力,使各种应用能够在最小的存储限制条件下优化运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending 3D geometric file formats for geospatial applications

This study addresses the representation and exchange of geospatial geometric 3D models, which is a common requirement in various applications like outdoor mixed reality, urban planning, and disaster risk management. Over the years, multiple file formats have been developed to cater to diverse needs, offering a wide range of supported features and target areas of application. However, classic exchange formats like the JavaScript Object Notation and the Extensible Markup Language have been predominantly favored as a basis for exchanging geospatial information, leaving out common geometric information exchange formats such as Wavefront’s OBJ, Stanford’s PLY, and OFF. To bridge this gap, our research proposes three novel extensions for the mentioned geometric file formats, with a primary focus on minimizing storage requirements while effectively representing geospatial data and also allowing to store semantic meta-information. The extensions, named GeoOBJ, GeoOFF, and GeoPLY, offer significant reductions in storage needs, ranging from 14 to 823% less compared to standard file formats, while retaining support for an adequate number of semantic features. Through extensive evaluations, we demonstrate the suitability of these proposed extensions for geospatial information representation, showcasing their efficacy in delivering low storage overheads and seamless incorporation of critical semantic features. The findings underscore the potential of GeoOBJ, GeoOFF, and GeoPLY as viable solutions for efficient geospatial data representation, empowering various applications to operate optimally with minimal storage constraints.

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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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