利用改进FLIC算法进行重力矢量场可视化

李振海; 罗志才; 汪海洪; 李琼

利用改进FLIC算法进行重力矢量场可视化

李振海¹,
罗志才^1,2,3,
汪海洪^1,2,
李琼¹

¹武汉大学测绘学院,武汉市珞喻路129号430079;²武汉大学地球空间环境与大地测量教育部重点实验室,武汉市珞喻路129号,430079;³武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079

基金项目: 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)

详细信息

作者简介:
李振海,博士生,主要研究方向为物理大地测量学及地球重力场的可视化。

中图分类号: P223.7
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出版历程
- 收稿日期: 2011-01-11
- 发布日期: 2011-03-04

Visualization of Gravity Vector Field Using Improved FLIC Algorithm

¹ School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;² Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China;³ State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 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)

摘要

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。
- 改进FLIC算法 /
- 重力矢量场 /
- 可视化 /
- 滤波长度
Abstract: 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.
- 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.

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1.	李钦，游雄，李科，汤奋，王玮琦. 局部物体块匹配的图像匹配算法. 武汉大学学报(信息科学版). 2022(03): 419-427 . 百度学术
2.	张乾，杨玉成，邵定琴，岳诗琴. 广义局部二值模式在彩色图像检索中的仿真. 计算机仿真. 2020(06): 457-461 . 百度学术

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文章访问数: 1249
HTML全文浏览量: 138
PDF下载量: 673
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利用改进FLIC算法进行重力矢量场可视化

作者简介: 李振海,博士生,主要研究方向为物理大地测量学及地球重力场的可视化。

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出版历程

Visualization of Gravity Vector Field Using Improved FLIC Algorithm

期刊类型引用(2)

其他类型引用(1)

计量

出版历程

目录

作者简介:
李振海,博士生,主要研究方向为物理大地测量学及地球重力场的可视化。