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Integrating geometric models, site images and GIS based on Google Earth and Keyhole Markup Language

机译：基于Google Earth和Keyhole标记语言集成几何模型，站点图像和GIS

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摘要

Technologies for information management and visualization are instrumental in enhancing human perceptions and interpretations of complicated project information. 3D/4D modeling, Virtual Reality (VR), Building Information Models (BIM) and Geographical Information Systems (GIS) have been increasingly used for data management and analytics in construction. Apart from virtual models, it is essential to represent the ever-changing site reality by integrating images captured with drones, mobile devices, and digital cameras. To improve the cognitive perception of the site environment from fragmented datasets, this paper proposes a framework to integrate unordered images, geometric models and surrounding environment in Google Earth using Keyhole Markup language (KML). A ground-control-free methodology to geo-reference sequential aerial imageries and ground imageries is proposed in order to place unordered images into the physical coordinate system of Google Earth. To combine geometric models, site images and panoramic images with the site surrounding environment in 3D GIS, a KML and cloud storage based data management system is conceptualized to handle large scale datasets. The research provides construction engineers with a low-cost and low-technology-barrier solution to represent a dynamic construction site through information management, integration and visualization.
机译：信息管理和可视化技术有助于增强人们对复杂项目信息的理解和解释。 3D / 4D建模，虚拟现实（VR），建筑信息模型（BIM）和地理信息系统（GIS）已越来越多地用于建筑中的数据管理和分析。除了虚拟模型外，通过集成用无人机，移动设备和数码相机捕获的图像来表示不断变化的现场现实至关重要。为了提高来自零散数据集的站点环境的认知能力，本文提出了一个框架，该框架使用Keyhole标记语言（KML）在Google Earth中集成无序图像，几何模型和周围环境。为了将无序图像放入Google Earth的物理坐标系中，提出了一种对地面连续航空影像和地面影像进行地理参考的无地面控制方法。为了将几何模型，站点图像和全景图像与3D GIS中的站点周围环境结合起来，基于KML和云存储的数据管理系统被概念化以处理大规模数据集。该研究为建筑工程师提供了一种低成本，低技术壁垒的解决方案，可以通过信息管理，集成和可视化来代表一个动态的建筑工地。

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