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利用改进FLIC算法进行重力矢量场可视化 被引量:2

Visualization of Gravity Vector Field Using Improved FLIC Algorithm
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摘要 针对固定滤波长度公式得到的LIC图像显示效果不理想的缺点,利用纹理流线上所有点亮度值的统计方差来衡量可视化精度,提出了一种滤波长度随矢量变化的改进FLIC算法。用颜色信息表示重力异常大小或者真实垂线偏差大小,纹理方向表示重力方向,基于改进FLIC算法实现了重力矢量场的可视化,结果表明,重力矢量场的可视化具有表达多维信息和矢量方向细节、图形直观易读等优势。 In order to overcome the shortcomings of the traditional LIC algorithm with fixed filter length,an improved FLIC algorithm which filter length varied with the vector direction was proposed.And statistical variance of the intensities at all points in one texture streamline was employed to evaluate the visualization accuracy.The computational efficiency and visualization accuracy can be improved simultaneously by the new method.Furthermore,visualization of gravity vector field was carried out by improved FLIC algorithm,using color information to distinguish gravity anomalies or deflections of the vertical,and texture to express the direction of gravity vector.The results indicate that the visualization of gravity vector field has obvious advantages including multi-dimensional information expression,image cognition and vector direction details.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2011年第3期276-279,379,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40874002) 国家973计划资助项目(2007CB714405) 国家863计划资助项目(2008AA12Z105) 国家教育部新世纪优秀人才支持计划资助项目(NCET-07-0635) 地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(08-02-03)
关键词 改进FLIC算法 重力矢量场 可视化 滤波长度 improved FLIC algorithm gravity vector field visualization filter length
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  • 1宁津生,郭金来.地球重力场可视化数据挖掘平台WHU-3 Dgravity的设计与实现[J].武汉大学学报(信息科学版),2007,32(11):945-949. 被引量:3
  • 2张昆,张松林,刘祖强,杨红.滑坡变形的三维可视化研究[J].武汉大学学报(信息科学版),2006,31(9):795-798. 被引量:15
  • 3van Wijk J J. Spot Noise:Texture Synthesis for Data Visualization[J]. Computer Graphics, 1991, 25 (4) : 309-318.
  • 4Crawfis R A, Max N. Texture Splats for 3D Scalar and Vector Field Visualization[C]. Visualization'93, Los Alamitos, CA, 1993.
  • 5Cabral B, Leedom L. Imaging Vector Fields Using Line Integral Convolution[J]. Computer GraphiCs, 1993, 27(4): 263-270.
  • 6Stalling D, Hege H C. Fast and Resolution Independent Line Integral Convolution[C]. Computer Graphics Annual Conference, New York, 1995.
  • 7Stalling D. Fast Texture-Based Algorithms for Vector Field Visualization [D]. Berlin: Konrad-Zuse- Zentrum fur Informationstechnik Berlin(ZIB), 1998.
  • 8Hege H C, Stalling D. Fast LIC with Piecewise Polynomial Filter Kernels[M]. Heidelberg: Springer, 1998.
  • 9Hege H C, Stalling D. Fast LIC with Higher Order Filter Kernels[M]. Heibelberg:Springer, 1997.
  • 10Laidlaw D H, Kirby M, Jackson C, et al. Comparing 2D Vector Field Visualization Methods: a User Study[J]. IEEE Transactions on Visualization and Computer Graphics, 2005, 11(1): 59-70.

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