基于预警等级的空间数据集伪彩色编码算法研究

RESEARCH ON WARNING LEVEL-BASED FALSE COLOUR CODING ALGORITHM FOR SPATIAL DATA SET

针对空间数据集可视化能力差、基于视觉的统计分析难度较大、空间数据信息表达不完全等问题,提出一种基于预警等级的空间数据集伪彩色编码算法。在该算法中,首先对空间数据集进行三维空间数据集模型构造;然后进行三维空间数据集属性集合的灰度级映射,依据灰度级与彩色空间系统的映射关系对基于预警等级的彩色空间映射色彩变换函数的颜色聚类参数进行聚类,根据灰度级的阈值区间进行伪彩色色彩变换函数赋值;最后对伪彩色编码的颜色条纹带进行色彩渐进插值平滑过渡处理。实验证明,该算法处理的基于预警等级的空间数据集色彩渲染层次感强、色彩过渡平滑,有利于空间数据集信息的表达。

Spatial data set has the problems of weak ability in visualisation, difficult in vision-based statistical analysis and incomplete in spatial data information expression. In order to solve these problems, we propose a warning level-based false colour coding algorithm for the spatial data set. In this algorithm, first a 3D spatial data set model is constructed for the spatial data set, and then the gray level mapping in regard to attribute set of 3D spatial data sets is conducted, the colour clustering parameters of colour transformation function in colour space based on warning level are clustered according to the mapping relation between gray level and colour space system, the false colour transformation function assignment is implemented according to threshold interval of grayscale. Finally the gradual colour interpolation smooth transition processing is handled on the eolour stripes of the false colour coding. Experiment shows that the eolour rendering of warning levelbased spatial data set processed by the algorithm has strong feeling of layers and smooth colour transition, it is helpful for the expression of spatial data set information.