摘要
通过研究区实测蚀变岩矿样品光谱,在ASTER数据波段上重建其光谱曲线,分析岩矿蚀变组分丰度与其特征光谱参数的相关性,优选特征光谱参数与蚀变组分含量进行多元统计分析,推导出岩矿蚀变组分与AS-TER遥感数据各波段之间的回归函数,建立羟基蚀变遥感异常反演模型。这一方法在新?老山口地区应用,分别提取出了Al-OH、Mg-OH矿物遥感蚀变异常。与传统的比值、主成分分析等方法提取的遥感蚀变异常相比,本方法充分利用了各蚀变组分的光谱特征信息,提取的蚀变异常客观可靠,更符合区域矿产实际。
According to the research measured sample of alteration rock spectra,its spectral curve on the ASTER data bands is rebuilt.Analyzing the relativity between the abundance of rock alteration component and its characteristic spectral parameters,and multivariate statistical analyzing the selective characteristic spectral parameters and contents of alteration components,then a regression function between rock alteration component and each bands of ASTER remote sensing data is deduced.Finally a hydroxyl alteration remote sensing abnormal inversion model is built.Applying this method to Laoshankou area in Xinjiang autonomous region,the Al-OH,Mg-OH of mineral alteration anomalies extracted respectively.Compare with the remote sensing alteration anomalies which were extracted by the traditional ratio and principal component analysis,the method proposed in the paper is objective and reliable in fully use the spectral information of all alteration components to extract remote sensing alteration anomalies,besides it more practical for regional minerals.
出处
《遥感信息》
CSCD
2011年第4期11-17,共7页
Remote Sensing Information
关键词
光谱特征参量
定量反演
ASTER
遥感蚀变
老山口
spectral characteristic parameters
quantitative retrieval
ASTER
remote sensing alteration
Laoshankou
