【摘要】 国内外提取蚀变矿物的报道中,多数采用高光谱数据(图像和光谱曲线),而这两者具有数据价格昂贵和大范围进行反演蚀变矿物比较困难的缺点。ASTER在短波红外和热红外波段对刻画岩石中矿物成分具有一定的优势。本文选择内蒙古东乌珠穆沁旗北部地区为研究区域,尝试用ASTER图像进行蚀变矿物识别的研究,并给出了对五种常见矿物提取的主成分分析方法。通过对提取结果的实地调查验证发现,本文所给方法对铁氧化物(褐铁矿和赤铁矿等)、绿泥石、高岭石等蚀变信息提取效果很好,鉴于伊利石和明矾石均以K+、Al3+和OH-离子为主要成分,对区分二者的效果并不明显。更多还原

【Abstract】 According to many domestic and oversea reports about altered minerals discriminating,it was usually using hyper spectral data(include imagery and spectral curve),but it has inherent flaw that the cost is relatively high and it is difficult to carry out altered minerals discriminating at large area.ASTER data has advantages to identify rock minerals with its short wave infrared and thermal infrared band.This paper is based on the study to the North area of East-Wuzhumuqin,Inner Mongolia,and attempts to discriminate altered minerals using ASTER imagery,and put forward Principle Component Analysis(PCA) technology for five common minerals.After investigating on the spot for the result,we find that the technique proposed in the paper is good at the altered mineral such as limonite and iron oxide,chlorite,kaolinite.For the reason that K+、Al3+ and OH,which all are both illite and alunite’s main components,however,it has a little difficult to distinguish them.更多还原