数据可视化交互技术在航天数据处理中的应用

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2438
Jia Lin, Bigerng Zheng, Zhijian Chen
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引用次数: 0

摘要

研究了一种基于空间飞行实时特征的可视化交互式网络拓扑模型。首先建立一组一致的数据和逻辑交互接口。本文提出了一种基于虚拟现实技术的场景模型构建和应用编程方法。将场景元素提取为两种类型的原语,即逻辑类型和模拟对象类型。这为编辑和处理图形元素提供了统一的体系结构。该系统可以实现场景的自动生成。然后将SFM稀疏重建得到的点云数据重构为泊松曲面。你会得到一个密集而均匀的网格。实验表明,该算法可以实现非合作目标的三维重建。非合作目标空间定位中获得的空间特征点可以为其轨道定位提供必要的技术支持。该模型可以根据任务的特征快速生成新的模型场景页面。这种方法改变了显示模式,以前只能是静态或有限的动态。它还提高了空间任务准备的效率。
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Application of Data Visualization Interaction Technology in Aerospace Data Processing
A visualization and interactive network topology model are studied based on real-time features generated during spaceflight. Start by establishing a consistent set of data and logical interaction interfaces. This paper presents a method of scenario model construction and application programming based on virtual reality technology. The scene elements are extracted into two types of primitives, namely logical type and simulated object type. This provides a unified architecture for the editing and processing of graphic elements. This system can realize the automatic creation of the scene. Then the point cloud data obtained by sparse reconstruction of SFM is reconstructed to the Poisson surface. You get a dense, uniform grid. Experiments show that the proposed algorithm can realize the 3D reconstruction of non-cooperative objects. The spatial feature points obtained in the spatial positioning of non-cooperative objects can provide necessary technical support for its orbit positioning. The model can quickly generate new model scenario pages according to the characteristics of the task. This method changes the display mode, which can only be static or limited dynamic before. It has also improved the efficiency of space mission preparation.
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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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