论文部分内容阅读
RGB模型支持下的色彩合成技术能够实现模糊c-均值算法(FCM)输出结果的连续制图表达,但RGB模型本身的条形图例不能很好地反映出制图结果的空间信息和模糊不确定性信息。同时当模糊类别数量较多的情况下,容易出现新生成的类别色彩与原类别色彩相近甚至重复的现象,从而导致最终的模糊连续制图出现类别混乱的问题。研究表明基于HSI模型的轮式图例不仅可以反映出模糊类别之间的属性空间距离(亲疏关系),同时可以反映出制图结果的空间信息和模糊不确定性信息。两个色彩模型的有效结合较好地实现了色彩合成技术支持下的土壤模糊连续制图。
The color synthesis technology supported by RGB model can realize the continuous representation of the output of fuzzy c-means algorithm (FCM), but the bar graph of RGB model itself can not well reflect the spatial information and ambiguous uncertainty information . In the meantime, when the number of fuzzy categories is large, it is easy for the newly generated category colors to be similar or even duplicate with the original category colors, which leads to the problem of category confusion in the final fuzzy continuous drawing. The research shows that the wheeled legend based on the HSI model can not only reflect the spatial distance between attributes (fuzzy relationship) between fuzzy categories, but also reflect the spatial information and fuzzy uncertainty information of the mapping results. The effective combination of the two color models achieves the fuzzy continuous mapping of soil under the color synthesis technology.