论文部分内容阅读
铝土矿上覆厚度为0.5～9m的铁矾土(铁帽)的特点使得研究区内铝土矿蚀变信息在一定程度上可以由铁帽信息来表示。在分析区内铝土矿的含矿体系、光谱特征和遥感影像特征的基础上,提出充分利用铝土矿与铁帽信息的相关性,通过提取铁帽信息来间接提取铝土矿蚀变信息。介绍了通过“多元数据分析+比值分析+主成分分析+分类”提取铝土矿蚀变信息的方法,结果表明:利用该方法提取的蚀变信息与已知矿体的吻合率为63%,蚀变信息提取准确度较主成分分析(44.6%)和比值分析(54.7%)有较大幅度提高。该方法能够抑制植被覆盖及第四系等干扰因素的影响,快速有效地提取几内亚金迪亚地区的铝土矿蚀变信息,初步查明区内铝土矿的分布规律,为进一步找矿勘查工作提供了有效的指示信息,这对于找矿勘查成本高的海外勘探区,具有重要的现实意义。
The bauxite overburden thickness of 0.5 ~ 9m bauxite (iron cap) features make the study area bauxite alteration information to a certain extent by iron cap information to represent. On the basis of analyzing the ore-bearing system, spectral characteristics and remote sensing image features of bauxite in the area, it is proposed to make full use of the correlation between bauxite information and iron cap information, to indirectly extract bauxite alteration information by extracting iron cap information . The method for extracting alteration information of bauxite by “multivariate data analysis + ratio analysis + principal component analysis + classification” is introduced. The results show that the coincidence rate between the alteration information extracted by this method and the known ore body is 63 %, And the accuracy of alteration information extraction is significantly higher than that of the principal component analysis (44.6%) and the ratio analysis (54.7%). The method can restrain the influence of vegetation cover and Quaternary disturbing factors, quickly and effectively extract the bauxite alteration information in Kindia, Guinea and preliminarily identify the distribution of bauxite in the area, Work provides effective instructions, which is of great practical significance for overseas exploration areas with high exploration prospecting cost.