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机构地区:[1]成都理工大学环境与土木工程学院,成都610059 [2]电子科技大学通信与信息工程学院,成都611731
出 处:《物探化探计算技术》2017年第3期372-377,共6页Computing Techniques For Geophysical and Geochemical Exploration
基 金:国家自然科学基金青年科学基金(41604107)
摘 要:单属性地震数据体绘制具有信噪比低、特征不明显的缺点,传统的基于平行坐标的多属性地震数据融合体绘制的可视分析方法克服了单属性的缺陷,但是参数调节繁琐、并且不一定能凸显目标特征。针对传统平行坐标可视分析所存在的传递函数设计困难且不能精确找到目标特征的缺点,提出了一种基于连续平行坐标的可视分析方法。通过绘制连续平行坐标,更精确地展示多属性数据之间的关联关系,并通过用户采样等交互操作自动设置多维传递函数,更精确刻画目标特征,并省去繁琐的传递函数调节操作。通过实际多属性地震数据测试,该方法能有效寻找到目标特征,并提高绘制效果。The single -attribute seismic data volume has the disadvantages of low signal -to - noise ratio and less obvious features. The traditional visual analysis method of multi -attribute seismic data fusion based on parallel coordinates overcomes the defects of single attribute, but the parameter adjustment is cumbersome and maybe not highlight the target characteristics. In order to solve this problem, we present a multi -attribute seismic data visual analysis method based on continuous parallel coordinates in this paper. By plotting continuous parallel coordinates, we can show the relationship between multi - attribute data more accurately. Besides that, interact with each other through user sampling on attribute data slice view, we can set the multi-dimensional transfer function automatically. We can more accurately and accurately characterize the target, and elimi-nates the cumbersome transfer function adjustment operation. Through the actual multi - attribute seismic data test, this meth-od can effectively find the target characteristics, and improve the rendering effect.
分 类 号:P631.4[天文地球—地质矿产勘探]
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