摘要
化探数据处理的核心内容是地球化学背景与地球化学异常的合理区分,找矿信息提取将直接影响到成矿预测的结果。文章采用基于RAGA的PPC模型对凤太矿集区1:5万水系沉积物化探数据进行处理,初步探讨了投影寻踪聚类方法在地球化学异常识别与元素共生组合方面的应用,以及投影方向值所代表的地质意义。结果表明,PPC模型的化探异常识别效果优于传统方法,为多维化探数据的处理提供了一种新的思路和途径。
To distinguish the geochemical background and geochemical anomaly is the key of geochemical data processing and information extraction has a direct impact on the results of ore prediction.This paper introduces the application of RAGA-based PPC model to procession of 1︰5 0000 stream sediment data from Fengtai mineral cluster region and probes into use of projection pursuit cluster in recognition of geochemical anomaly and the symbolical elements combination,as well as the geological significance represented by the value of the projection direction.Results show that,PPC model for geochemical anomaly recognition is better than the traditional method and provides a new thinking and approaches for multi-dimensional processing of geochemical data.
出处
《地质找矿论丛》
CAS
CSCD
2011年第1期90-95,共6页
Contributions to Geology and Mineral Resources Research
基金
"十一五"国家科技支撑计划课题(编号:2006BAB01A11)资助
关键词
PPC模型
化探异常提取
凤太矿集区
陕西省
PPC Models
extraction of geochemical anomalies
Fengtai mineral cluster region
Shaanxi province
