岩石颜色不仅反映沉积环境而且指示特有矿物与元素,是纵向横向沉积演化,地层对比的重要依据和指标之一。目前岩石颜色主要依赖肉眼识别和主观描述,或使用色卡进行对比判读。这些方法受个体差异和环境影响较大,缺少定量计算方法,无法满...岩石颜色不仅反映沉积环境而且指示特有矿物与元素,是纵向横向沉积演化,地层对比的重要依据和指标之一。目前岩石颜色主要依赖肉眼识别和主观描述,或使用色卡进行对比判读。这些方法受个体差异和环境影响较大,缺少定量计算方法,无法满足颜色批量精准识别的需要。因此快速、批量、高效实现颜色的客观识别和数值量化对地质工作研究和应用具有重要意义。该研究基于色度学原理,利用光谱分析技术,结合Python计算机语言编译的岩石颜色定量化识别软件,实现岩石颜色的数值定量化和批量自动化转换,提高颜色的判断精度和识别效率。通过对《Munsell Rock Book》对比发现,CIE RGB颜色系统计算结果与色卡一致性较高,Munsell系统计算结果中色相值(<3个NBS单位)一致性达到86.7%,明度值和纯度值的一致性分别达到92.2%和82.2%,相关性为98.83%和87.50%,均属于较小色差范围。相较于Munsell系统计算结果,31个岩石样品的CIE RGB计算结果与样品颜色的一致性和准确性更高。造成颜色差异的原因复杂多样,不仅与颜色系统之间的转换误差和人为主观对比及判读有关,而且与岩石样品的特殊性和环境等因素密切相关。本次研究为岩石颜色的快速、高效、客观批量化和定量化表征提供了一种可行性方法和思路,具有较好的应用价值。展开更多
Problems existin similarity measurement and index tree construction which affect the performance of nearest neighbor search of high-dimensional data. The equidistance problem is solved using NPsim function to calculat...Problems existin similarity measurement and index tree construction which affect the performance of nearest neighbor search of high-dimensional data. The equidistance problem is solved using NPsim function to calculate similarity. And a sequential NPsim matrix is built to improve indexing performance. To sum up the above innovations,a nearest neighbor search algorithm of high-dimensional data based on sequential NPsim matrix is proposed in comparison with the nearest neighbor search algorithms based on KD-tree or SR-tree on Munsell spectral data set. Experimental results show that the proposed algorithm similarity is better than that of other algorithms and searching speed is more than thousands times of others. In addition,the slow construction speed of sequential NPsim matrix can be increased by using parallel computing.展开更多
文摘岩石颜色不仅反映沉积环境而且指示特有矿物与元素,是纵向横向沉积演化,地层对比的重要依据和指标之一。目前岩石颜色主要依赖肉眼识别和主观描述,或使用色卡进行对比判读。这些方法受个体差异和环境影响较大,缺少定量计算方法,无法满足颜色批量精准识别的需要。因此快速、批量、高效实现颜色的客观识别和数值量化对地质工作研究和应用具有重要意义。该研究基于色度学原理,利用光谱分析技术,结合Python计算机语言编译的岩石颜色定量化识别软件,实现岩石颜色的数值定量化和批量自动化转换,提高颜色的判断精度和识别效率。通过对《Munsell Rock Book》对比发现,CIE RGB颜色系统计算结果与色卡一致性较高,Munsell系统计算结果中色相值(<3个NBS单位)一致性达到86.7%,明度值和纯度值的一致性分别达到92.2%和82.2%,相关性为98.83%和87.50%,均属于较小色差范围。相较于Munsell系统计算结果,31个岩石样品的CIE RGB计算结果与样品颜色的一致性和准确性更高。造成颜色差异的原因复杂多样,不仅与颜色系统之间的转换误差和人为主观对比及判读有关,而且与岩石样品的特殊性和环境等因素密切相关。本次研究为岩石颜色的快速、高效、客观批量化和定量化表征提供了一种可行性方法和思路,具有较好的应用价值。
基金Supported by the National Natural Science Foundation of China(No.61300078)the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions(No.CIT&TCD201504039)+1 种基金Funding Project for Academic Human Resources Development in Beijing Union University(No.BPHR2014A03,Rk100201510)"New Start"Academic Research Projects of Beijing Union University(No.Hzk10201501)
文摘Problems existin similarity measurement and index tree construction which affect the performance of nearest neighbor search of high-dimensional data. The equidistance problem is solved using NPsim function to calculate similarity. And a sequential NPsim matrix is built to improve indexing performance. To sum up the above innovations,a nearest neighbor search algorithm of high-dimensional data based on sequential NPsim matrix is proposed in comparison with the nearest neighbor search algorithms based on KD-tree or SR-tree on Munsell spectral data set. Experimental results show that the proposed algorithm similarity is better than that of other algorithms and searching speed is more than thousands times of others. In addition,the slow construction speed of sequential NPsim matrix can be increased by using parallel computing.
