地质与勘探2011，Vol.47Issue(4)：710-718,9.
基于最大噪声分量变换（MNF）和矿物标识的植被区蚀变信息提取
Mapping Mineralogical Alteration Using MNF Transfrom and Mineral in Vegetated Areas
摘要
Abstract
Mapping of altered rocks in areas with heavy vegetation is difficult by using principal component analysis and band ratios to remote sensing data, which have been commonly applied to locate hydmthermal alteration zones related to metallic deposits. We propose a method to effectively map al- tered recks, which is based on that the reflectance of green vegetation is low in the shortwave infrared portion and maximum signal to noise ratio （MNF） transform can reduce the effect caused by the vetetation. This technique turns target mineral spectra into pixels of ASTER images as mineral indicators that provide a potential approach for fast and effective extracting mineral alteration from ASTER muhispectral data. In this study, the method was applied to ASTER bands converiong the SWIR with the objective of mapping phyllic and argillic hydrothermally altered rocks in the Prong-Hongshan copper belt in Yunnan Province. The mineral abundance images produced using this method are less affected by inerference compared with other methods such as the PCA and band ratio method. The result shows that this method can suppress well the influence of vegetation and highlight target ores, and extract alteration information of ores from ASTER remote sensing images fastly and efficiently.关键词
蚀变/短波红外/MNF/矿物标识/植被Key words
alteration/shortwave infrared/maximum singal to noise ratio/mineral indicator/vegetation分类
天文与地球科学引用本文复制引用
王爱云,王安建,李丽辉..基于最大噪声分量变换（MNF）和矿物标识的植被区蚀变信息提取[J].地质与勘探,2011,47(4):710-718,9.基金项目
国家科技支撑课题（编号：2006BAB01A07）和中央公益性科研院所基本科研业务费专项资金项目（编号：K0925）资助. （）
