基于野外实测光谱统计分析的蚀变矿物填图

提出了一种新的基于野外实测光谱统计分析的蚀变矿物填图方法。该方法首先对野外测量得到的大量样本光谱数据进行聚类处理,从光谱的整体特征上将不同类型的样本区分开。第二步对各聚类结果中不同蚀变矿物分别建立其各自的判别函数。第三步在遥感影像上按照聚类得到的参考光谱分别进行大蚀变类的划分,最后在此基础上采用第二步得到的各蚀变类型的判别函数进行蚀变矿物的细化填图,得到最终的填图结果。该方法充分考虑了不同蚀变类型及蚀变组合的地区差异性,建立的蚀变矿物的判别函数更具有科学性,并且填图结果可在一定程度上进行可靠度评价。将该方法应用到新疆包古图地区的某一研究子区中,获得了较好的成果。

Alteration mineral mapping method based on statistical analysis of field measured spectra

The present paper presents a new alteration mineral mapping method based on statistical analysis of field measured spectra. First of all, this method processes a cluster of measurement data of spectra of field samples, in order to distinguish different sample area from the overall types. Second, the results of the clustering of different mineral alterations established their respective discriminant functions. Thus, mapping major alteration type accords with the clustered reference spectra by given remote sensing images. Finally mapping further alteration types was based on the discriminant function of second step, which leads to final alteration map. This method takes full account of the different combination of alteration types, as well as the regional differences of alterations, and the establishment of the discriminant function for alteration minerals is more scientific. Moreover, the authors accessed the reliability of mapping to a certain extent. The method was applied to a study area of Baogutu in Xinjiang Province, which represents a good result.