A Spherical Volume-Rendering Method of Ocean Scalar Data Based on Adaptive Ray Casting

Weijie Li, Changxia Liang, Fan Yang, Bo Ai, Qingtong Shi, Guannan Lv
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Abstract

There are some limitations in traditional ocean scalar field visualization methods, such as inaccurate expression and low efficiency in the three-dimensional digital Earth environment. This paper presents a spherical volume-rendering method based on adaptive ray casting to express ocean scalar field. Specifically, the minimum bounding volume based on spherical mosaic is constructed as the proxy geometry, and the depth texture of the seabed terrain is applied to determine the position of sampling points in the spatial interpolation process, which realizes the fusion of ocean scalar field and seabed terrain. Then, we propose an adaptive sampling step algorithm according to the heterogeneous depth distribution and data change rate of the ocean scalar field dataset to improve the efficiency of the ray-casting algorithm. In addition, this paper proposes a nonlinear color-mapping enhancement scheme based on the skewness characteristics of the datasets to optimize the expression effect of volume rendering, and the transparency transfer function is designed to realize volume rendering and local feature structure extraction of ocean scalar field data in the study area.
基于自适应光线投射的海洋标量数据球面体绘制方法
传统的海洋标量场可视化方法在三维数字地球环境下存在表达不准确、效率低等局限性。提出了一种基于自适应光线投射的海洋标量场球面体绘制方法。具体而言,构建基于球面镶嵌的最小边界体作为代理几何,在空间插值过程中利用海底地形的深度纹理确定采样点的位置,实现了海洋标量场与海底地形的融合。然后,根据海洋标量场数据的非均匀深度分布和数据变化率,提出了一种自适应采样步长算法,以提高光线投射算法的效率。此外,本文提出了一种基于数据集偏度特征的非线性颜色映射增强方案,优化体绘制的表达效果,并设计了透明度传递函数,实现了研究区海洋标量场数据的体绘制和局部特征结构提取。
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