ASTER遥感数据蚀变遥感异常提取研究

Alteration Remote Sensing Anomaly Extraction Based on Aster Remote Sensing Data

基于ETM+/TM数据提取矿化蚀变遥感异常已趋于成熟,而利用ASTER(先进星载热发射和反射辐射仪)遥感数据提取矿化蚀变遥感异常鲜有报道。本研究利用USGS波谱数据库中典型蚀变矿物反射率数据,重建其在ASTER数据中波谱曲线。研究表明,ASTER遥感数据可以提取Mg-OH、Al-OH、CO32-和Fe3+离子(基团)信息。热液矿床的蚀变围岩通常含有上述4种离子(基团),它们的波谱特征是蚀变遥感异常提取的理论依据。本研究利用改进"去干扰异常主分量门限技术流程",以河北省承德地区和太行山区为例,上述离子(基团)信息提取结果与野外实际分布相一致,表明利用ASTER遥感数据提取上述4种离子(基团)信息是可靠的。

Mineralization alteration remote sensing anomaly has been perfected based on ETM＋/TM data, but alteration remote sensing anomaly extraction achievement is very poor based on ASTER（Advanced Spaceborne Thermal Emission and Reflection Radiometer） remote sensing data. In the study, we have rebulit alteration mineralization spectral curves on ASTER remote sensing data based on representative alteration minerals reflectivity data in USGS standard spectral database. We think that four types ions information which are Mg-OH, Al-OH, CO3^2- and Fe^3＋ can be extracted. In the paper, a practical application example for Chengde area and Taihangshang area in Hebei province as example, we have used modifying ＂de-interfered anomalous principal component thresholding technique flow＂ to extract the four types of ions information. The results of four types of ions information be extracted are same to the investigation in the field, which shows extracting the four types of ions information based on the ASTER remote sensing can be accepted.