eFESTA: Ensemble Feature Exploration with Surface Density Estimates

首页> 外文期刊>IEEE transactions on visualization and computer graphics >eFESTA: Ensemble Feature Exploration with Surface Density Estimates

【24h】

eFESTA: Ensemble Feature Exploration with Surface Density Estimates

机译：eFESTA：具有表面密度估计的集成特征探索

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

We propose surface density estimate (SDE) to model the spatial distribution of surface features-isosurfaces, ridge surfaces, and streamsurfaces-in 3D ensemble simulation data. The inputs of SDE computation are surface features represented as polygon meshes, and no field datasets are required (e.g., scalar fields or vector fields). The SDE is defined as the kernel density estimate of the infinite set of points on the input surfaces and is approximated by accumulating the surface densities of triangular patches. We also propose an algorithm to guide the selection of a proper kernel bandwidth for SDE computation. An ensemble Feature Exploration method based on Surface densiTy EstimAtes (eFESTA) is then proposed to extract and visualize the major trends of ensemble surface features. For an ensemble of surface features, each surface is first transformed into a density field based on its contribution to the SDE, and the resulting density fields are organized into a hierarchical representation based on the pairwise distances between them. The hierarchical representation is then used to guide visual exploration of the density fields as well as the underlying surface features. We demonstrate the application of our method using isosurface in ensemble scalar fields, Lagrangian coherent structures in uncertain unsteady flows, and streamsurfaces in ensemble fluid flows.

机译：我们提出了表面密度估计（SDE），以在3D集成仿真数据中对表面特征（等值面，山脊面和流面）的空间分布进行建模。 SDE计算的输入是表示为多边形网格的表面特征，不需要字段数据集（例如标量字段或矢量字段）。 SDE定义为输入表面上无穷多个点的核密度估计，并通过累加三角形补丁的表面密度来近似估计。我们还提出了一种算法，指导为SDE计算选择合适的内核带宽。然后提出一种基于表面密度估计的集合特征探索方法（eFESTA），以提取和可视化集合表面特征的主要趋势。对于一组曲面特征，首先根据每个曲面对SDE的贡献将其转换为密度场，然后根据它们之间的成对距离将生成的密度场组织为分层表示。然后使用分层表示法来指导对密度场以及基础表面特征的视觉探索。我们证明了等值面法在整体标量场，不确定不稳定流中的拉格朗日相干结构以及整体面流中的流面中的应用。

著录项

来源
《IEEE transactions on visualization and computer graphics》 |2020年第4期|1716-1731|共16页
作者

展开▼
作者单位

Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA;

Argonne Natl Lab Math & Comp Sci Div Lemont IL 60439 USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Feature extraction; Uncertainty; Estimation; Isosurfaces; Visualization; Computational modeling; Density estimation; ensemble data visualization; uncertainty visualization; feature exploration;

机译：特征提取;不确定;估计;等值面;可视化;计算建模;密度估算;整体数据可视化;不确定性可视化;特征探索;

相似文献

外文文献
中文文献
专利

1. High-resolution ensemble surface insolation estimates through assimilation of coarse-scale retrievals into a simple physical model: 2. Ensemble implementation and Shortwave Radiation Budget data assimilation [J] . Songweon Lee, Steven A. Margulis Journal of Geophysical Research, D. Atmospheres: JGR . 2007,第d10期

机译：通过将粗略尺度的取入同化为简单的物理模型来进行高分辨率的整体表面日照估计：2.集成实施和短波辐射预算数据同化
2. Molecular grand-canonical ensemble density functional theory and exploration of chemical space [J] . O.Anatole von Lilienfeld, Mark E.Tuckerman The Journal of Chemical Physics . 2006,第15期

机译：分子大正则合奏密度泛函理论与化学空间探索
3. The ensemble approach in comparison with the diverse feature selection techniques for estimating NPPs parameters using the different learning algorithms of the feed-forward neural network [J] . Khalil Moshkbar-Bakhshayesh Nuclear engineering and technology . 2021,第12期

机译：与借助前馈神经网络不同学习算法估计NPPS参数的不同特征选择技术相比，集合方法
4. A bottom-up scheme for user-defined feature exploration in vector field ensembles [C] . Richen Liu, Hanqi Guo, Xiaoru Yuan 2015 IEEE Scientific Visualization Conference . 2015

机译：向量场集合中用户定义特征探索的自底向上方案
5. Nanoscale feature composite: An ensemble surface for enhancing cardiovascular implant endothelialization. [D] . Tran, Phat L. 2012

机译：纳米级特征复合材料：用于增强心血管植入物内皮化的整体表面。
6. Road Surface Classification Using a Deep Ensemble Network with Sensor Feature Selection [O] . Jongwon Park, Kyushik Min, Hayoung Kim, 2018

机译：使用具有传感器特征选择的深层集成网络进行路面分类
7. The oceans mediate the response of global climate to natural and anthropogenic forcings. Yet for the past 2,000 years — a key interval for understanding the present and future climate response to these forcings — global sea surface temperature changes and the underlying driving mechanisms are poorly constrained. Here we present a global synthesis of sea surface temperatures for the Common Era (ce) derived from 57 individual marine reconstructions that meet strict quality control criteria. We observe a cooling trend from 1 to 1800 ce that is robust against explicit tests for potential biases in the reconstructions. Between 801 and 1800 ce, the surface cooling trend is qualitatively consistent with an independent synthesis of terrestrial temperature reconstructions, and with a sea surface temperature composite derived from an ensemble of climate model simulations using best estimates of past external radiative forcings. Climate simulations using single and cumulative forcings suggest that the ocean surface cooling trend from 801 to 1800 ce is not primarily a response to orbital forcing but arises from a high frequency of explosive volcanism. Our results show that repeated clusters of volcanic eruptions can induce a net negative radiative forcing that results in a centennial and global scale cooling trend via a decline in mixed-layer oceanic heat content. [O] . McGregor, Helen V., Evans, Michael N., Goosse, Hugues, 2015

机译：海洋调节了全球气候对自然和人为强迫的响应。然而，在过去的2,000年中（这是了解当前和未来气候对这些强迫的响应的关键间隔），全球海表温度变化及其潜在的驱动机制受到的约束很有限。在这里，我们提出了一个共同的时期（ce）的全球海面温度的全球综合，该综合来自57个符合严格质量控制标准的海洋重建项目。我们观察到从1到1800 ce的冷却趋势，对于显式测试重建中潜在的偏倚而言，该趋势很稳健。在801至1800 ce之间，表面降温趋势在质量上与地面温度重建的独立合成以及从使用过去外部辐射强迫的最佳估计的气候模型模拟集合推导出的海面温度合成在质量上是一致的。使用单一和累积强迫的气候模拟表明，从801到1800 ce的海洋表面冷却趋势主要不是对轨道强迫的反应，而是爆炸性火山爆发的频繁发生。我们的结果表明，火山喷发的反复簇可引起净的负辐射强迫，这会导致混合层海洋热量降低而导致百年和全球规模的降温趋势。
8. A Method to Correlate the Upper Air Density with Surface Density and Estimate the Ballistic Density for Air or Surface Launched Missiles. [R] . McAnelly, L. J. 1982

机译：空中或地面发射导弹上空密度与表面密度关联方法及弹道密度估算方法。

eFESTA: Ensemble Feature Exploration with Surface Density Estimates

摘要

著录项

相似文献

相关主题

期刊订阅