主成分变换对于区分多光谱遥感数据中岩性信息有一定效果。利用主成分变换的2 个因子散点图分类提取多光谱遥感数据中较弱岩性信息时,发现这些弱信息并不是出现在散点图重合部分的重心位置,说明多光谱原始遥感数据之间除了存在着起支配作用的主特征值外,还存在反应较弱信息的特征因子。而主成分变换只表示了特征空间系列变换的一种结果,为了提取和显示多因子变化空间中出现的较弱特征信息,开发了多因子逐步正交变换算法软件,在峪耳崖金矿带应用时取得了较好的效果。研究中还采取了掩膜技术排除水体和河道的干扰信息。该方法已用在华北地台北缘其它地区的找矿。

Itis provedthatsome effectshave come outforrockinformation separationfrom remotesensing data usingthe principalcomponentanalysis.New information, relatively weak, isrevealed bytwo_componentscatter_plotclassification, butit does notoccurin the centerarea ofthe aggregation.These phenomenaindicate thatthere are some other relative weak featuresin multi_band remote sensing raw data, beside main features presented by the principal componentanaly sis.The principalcomponentanalysisis onlyone resultoflineartransformation.In orderto derive more potentialinforma tion from multi_band raw data ofremote sensing, the step_wise orthogonaltransformation software is developed to extract potentialinformation ofrocktypes. Meanwhile, the maskingtechniqueis usedto getrid oftheinterference of water body and dry riverfrom theraw data.Goodresultsare achieved andthe methodisalso usedin other placesofthe Huabeiplat form rim.