Large-Scale Overlays and Trends: Visually Mining, Panning and Zoomingthe Observable Universe
Large-Scale Overlays and Trends: Visually Mining, Panning and Zoomingthe Observable Universe
复制标题
大规模覆盖和趋势：视觉挖掘、平移和缩放可观察的宇宙
DOI：
10.1109/tvcg.2014.2312008
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发表时间：
2014
影响因子：
5.2
通讯作者：
G. Marai
中科院分区：
文献类型：
--
作者：
T. Luciani;B. Cherinka;Daniel Q. Oliphant;Sean Myers;W. M. Wood;Alexandros Labrinidis;G. Marai
我们介绍了一个基于网络的计算基础架构，以帮助大规模天文学观察的视觉集成，采矿和交互式导航。在对应用程序域进行分析后，我们设计了一个客户端服务器体系结构，以获取分布式图像数据，并将本地数据划分为空间索引结构，该结构允许对空间对象进行前缀匹配。与基于硬件的基于像素的叠加层和在线交叉注册管道结合使用，此方法允许实时获取，显示，平移和缩放天空全景图。为了进一步促进空间和非空间数据的整合和挖掘，我们介绍了交互式趋势图像 - 触觉视觉表示，以识别异常对象并研究给定类别的大量空间对象中的趋势。在演示中，来自三个天空调查的图像（SDS，首先和模拟的LSST结果）被交叉注册并整合为覆盖物，从而可以对天文学观测值进行跨光谱分析。趋势图像是通过目录数据进行交互产生的，用于视觉上相似类型的天文观测。基础架构的前端使用Web Technologies WebGL和HTML5启用跨平台，基于Web的功能。我们的方法获得了互动渲染的框架；它的力量和灵活性使其能够满足天文学界的需求。对三个案例研究的评估以及领域专家的反馈，强调了这种视觉方法对观察天文学领域的好处；总体上，它对大规模地理空间可视化的潜在好处。
We introduce a web-based computing infrastructure to assist the visual integration, mining and interactive navigation of large-scale astronomy observations. Following an analysis of the application domain, we design a client-server architecture to fetch distributed image data and to partition local data into a spatial index structure that allows prefix-matching of spatial objects. In conjunction with hardware-accelerated pixel-based overlays and an online cross-registration pipeline, this approach allows the fetching, displaying, panning and zooming of gigabit panoramas of the sky in real time. To further facilitate the integration and mining of spatial and non-spatial data, we introduce interactive trend images-compact visual representations for identifying outlier objects and for studying trends within large collections of spatial objects of a given class. In a demonstration, images from three sky surveys (SDSS, FIRST and simulated LSST results) are cross-registered and integrated as overlays, allowing cross-spectrum analysis of astronomy observations. Trend images are interactively generated from catalog data and used to visually mine astronomy observations of similar type. The front-end of the infrastructure uses the web technologies WebGL and HTML5 to enable cross-platform, web-based functionality. Our approach attains interactive rendering framerates; its power and flexibility enables it to serve the needs of the astronomy community. Evaluation on three case studies, as well as feedback from domain experts emphasize the benefits of this visual approach to the observational astronomy field; and its potential benefits to large scale geospatial visualization in general.