基于Landsat7 ETM+图像提取蛤蟆沟林场浅覆盖区蚀变遥感异常  

Extraction of alteration anomalies based on Landsat7 ETM + images in shallow overburden area of the Hamagou forest farm

作　　者：刘春国[1] 谭文刚 

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454000 [2]辽宁省地质勘查院,辽宁大连161000

出　　处：《河南理工大学学报（自然科学版）》2016年第1期59-64,共6页Journal of Henan Polytechnic University（Natural Science）

基　　金：中国地质调查局地质调查项目(1212011120673)

摘　　要：受植被、地形、阴影、第四系等干扰因素影响,覆盖区的遥感蚀变异常提取是一项具有探索性的研究课题。以内蒙古自治区阿尔山市蛤蟆沟林场为研究区,根据蚀变岩光谱特征,利用Landsat7 ETM+多光谱图像,在剔除多种干扰因素的基础上,运用主成分分析法提取了浅覆盖区蚀变遥感异常,分析了蚀变分布特征与影响因素,指出下一步应加强植被抑制和消除地形阴影效应研究。The extraction of alteration anomalies information of remote sensing in the overburden areas is an important exploratory issue,which is affected by interference factors such as vegetation,rivers,shadows,and quaternary. Based on the spectral characteristics of altered rocks,taking the shallow overburden area of Hamagou forest farm in the Aershan county of Inner Mongolia autonomous region as a study area,a principal component analysis method is used to process Landsat7 ETM ＋ multispectral images. A preliminary research result is obtained,and the spatial distribution characteristics and influencing factors of the alteration anomalies information are analyzed. Further,it is pointed out that the research on vegetation suppression and hill shadow compensation should be strengthened in the next stage.

关 键 词：浅覆盖区 蚀变遥感异常 主成分分析 LANDSAT7 ETM+多光谱图像 

分 类 号：P627[天文地球—地质矿产勘探]