火山地貌的增强现实可视化

Rakhmat Jaya Lahay, Indrawan Indrawan, Mohamad Fachri Bokingo, Merlin Lauhi, Puspita Rahmat
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引用次数: 0

摘要

利用数字高程模型(DEM)数据在GIS桌面计算机上可视化火山地貌,在获取软件显示功能及其在室外的使用方面存在局限性。这一障碍可以通过结合GIS和移动增强现实来克服。然而,在增强现实软件中使用数字高程模型数据和卫星图像并没有得到广泛的探索。本研究展示了一种将地理空间数据与移动增强现实软件相结合的实用方法。本研究旨在创建一个增强现实原型来可视化虚拟火山物体。DEM数据和卫星图像创建三维(3D)物体,并提供火山地貌物体的纹理特征。火山地貌的可视化是通过Android智能手机上的增强现实(AR)应用程序原型完成的。实验结果表明,增强现实技术可以轻松地将DEM数据与卫星图像中的地物相结合。对智能手机设备的制造和安装阶段进行评估,结果显示为“成功”状态。经过9次后续测试,AR原型机在距离、角度、光线等各方面都表现良好。最终的测试场景以其他用户对应用程序的响应的形式获得了92.8%的“好”类别的平均值。总之,这些结果表明所构建的系统可以用于学习。然而,进一步的研究需要更多样化的测试场景,以了解该应用程序原型在各种条件下的使用程度。关键词:数字高程模型,GIS,增强现实,三维可视化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Volcanic Landform with Augmented Reality
Visualization of volcanic landforms with digital elevation model (DEM) data on the GIS desktop computer has limitations regarding access to the software display function and its use outside the room. This obstacle can be overcome by combining GIS and mobile augmented Reality. However, using digital elevation model data and satellite imagery in augmented reality software has not been widely explored. This study shows a practical way of integrating geospatial data with mobile augmented reality software. This research aims to create an augmented reality prototype to visualize virtual volcano objects. DEM data and satellite imagery create 3-dimensional (3D) objects and provide texture characteristics of volcanic landform objects. Visualization of volcanic landforms is done through an augmented reality (AR) application prototype on an Android smartphone. The experimental results show that augmented reality technology effortlessly combines DEM data and land features from satellite imagery. Evaluation of a smartphone device's manufacturing and installation stages shows results with a "successful" status. Through follow-up testing nine times, the AR prototype showed positive performance in all aspects of distance, angle, and lighting. The final test scenario in the form of responses regarding the application from other users obtained an average value of the "Good" category of 92.8%. In conclusion, these results indicate that the system built can be used in learning. However, further research requires more diverse test scenarios to see how far this application prototype can be used in various conditions. Keywords: Digital Elevation Model, GIS, Augmented Realit, 3D Visualization
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