CAJ | 학술논문

以云南普朗铜矿为研究对象，采用主成分分析算法，根据研究区区域上Cu、Au、Ni、Cr高背景及其引起的马尾松波谱异常特征，选择EVI、CNDI和REPI3种植被指数来提取研究区Au、Cu等成矿元素生物地球化学异常信息。结果表明：通过计算，可对第一主成分（PCI）进行密度分割，获取生物地球化学异常信息，并绘制研究区地球化学异常专题图。
이운남보랑동광위연구대상，채용주성분분석산법，근거연구구구역상Cu、Au、Ni、Cr고배경급기인기적마미송파보이상특정，선택EVI、CNDI화REPI3충식피지수래제취연구구Au、Cu등성광원소생물지구화학이상신식。결과표명：통과계산，가대제일주성분（PCI）진행밀도분할，획취생물지구화학이상신식，병회제연구구지구화학이상전제도。
The abnormal levels of metals can cause biophysical, biochemical and canopy spectral variations of vegetation. The objective of this research is to use the Hyperion image for deriving geochemical anomaly information. This paper studies the vegetation remote sensing anomalies characteristics caused by the high background contents of copper, gold, nickel, chromium in Pulan copper mine in Yunnan Province, and selects three kinds of vegetation index, i. e. , EVI, CNDI and REPI, to extract bio geochemical anomaly information. The results indicate that the chemical anomaly in the research area can be identified from Hyperion data, and that the geochemical anomaly information extracted from Hyperion data is largely consistent with the geological map and previous research results