ETM+和ASTER数据在遥感矿化蚀变信息提取应用中的比较——以安徽铜陵凤凰山矿田为例  

Comparison between ETM + and ASTER Data for Extraction of Alteration Information: A Case Study of Fenghuangshan Orefield, Tongling, Anhui Province

作　　者：毛晓长[1] 刘文灿[2] 杜建国[3] 许卫[3] 

机构地区：[1]中国地质调查局发展研究中心,北京100037 [2]中国地质大学地球科学与资源学院,北京100083 [3]安徽省地质调查院,安徽合肥230001

出　　处：《现代地质》2005年第2期309-314,共6页Geoscience

基　　金：中国地质调查局国土资源大调查项目"安徽 1:25万安庆幅区域地质调查" (200113000009)。

摘　　要：在利用遥感技术找矿中, 矿化蚀变信息识别与提取起着重要作用。选择具有典型蚀变特征的安徽铜陵凤凰山矿田作为研究区, 从分析地物波谱, 尤其是岩矿光谱特征出发, 根据ETM 和ASTER数据的光谱特征, 采用主成分分析(PCA), 设计了相应的粘土矿化蚀变信息提取方案, 成功地进行信息提取。对两者的提取结果进行比较后表明, ASTER数据较之ETM 数据在粘土类矿化蚀变信息提取中具有更大的优势。With the advent of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a 14 band multispectral sensor operating onboard the Earth Observation System (EOS) Terra satellite, the availability of spectral features in the shortwave infrared (SWIR) portion of the electromagnetic spectrum has been greatly increased This allows us to reveal the detailed spectral characterization of surface targets, particularly of minerals with diagnostic spectral features in this wavelength range, such as clay minerals In this study, Landsat ETM + and ASTER remote sensing data were used to map the alteration of rocks and minerals in Fenghuangshan Orefield based on the spectral feature analysis Principal component analysis (PCA) was done using four ETM + bands as input bands to extract clay alteration information, based on the relationship between the wavelengths of the ETM + bands and absorption features of the clay minerals PCA was also applied to the subsets of four and six ASTER bands to discriminate two kinds of clay minerals in the study area: kaolinite+sericite and chlorite, using the Crosta technique proposed by Loughlin The subsets were selected according to the bands with characteristic spectral features of key alteration mineral end members in the VNIR and SWIR of the spectrum The information of clay mineral distribution was extracted by each data set Comparison between ETM + and ASTER data for extraction of alteration information in this study shows that ASTER data has better capability for recognition of alteration minerals

关 键 词：矿化蚀变 光谱特征 ETM+ ASTER 主成分分析 凤凰山矿田 铜陵 

分 类 号：P627[天文地球—地质矿产勘探] TP79[天文地球—地质学]