Study on the Method of Extracting Information of Mineralization Alteration by using Remote Sensing in High Vegetation Coverage Area——Taking Daqiao-Shixia Area of Xihe County, Gansu Province For Example
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摘要: 高植被覆盖区遥感矿化蚀变信息提取结果会受植被覆盖影响其效果。笔者基于西秦岭大桥-石峡地区，利用ETM和Aster影像数据，进行高植被覆盖区遥感矿化蚀变信息提取研究，探讨抑制植被干扰和提取遥感矿化蚀变信息的方法，提出了多元数据叠加分析法。采用"混合像元法剔除干扰+多层次分离技术分析波段相关关系+多元数据叠加分析法增强蚀变信息+正态分布阈值分割法分级提取"等系列方法，提取了研究区遥感铁染和羟基异常，其中铁染异常区占研究区面积1.63%，羟基异常区占研究区面积1.26%。矿床点与遥感异常相关比率为45.5%，说明该方法在高植被覆盖区提取遥感矿化蚀变信息效果较好，具有一定示矿意义。Abstract: Vegetation coverage can affect the results of remote sensing mineralization alteration information extraction in high vegetation areas. Using ETM and Aster image data in Daqiao-Shixia area in West Qinling, this study discusses the method of extracting information of remote sensing mineralization alteration while suppressing the interference of vegetation, and puts forward the a method of multi-data superposition analysis. Such methods as "mixed pixel method to eliminate interference", "multi-level separation technology to analyze band correlation", "multivariate data superposition analysis method to enhance alteration information" and "normal distribution threshold segmentation method for graded extraction" were used to extract iron staining and hydroxyl anomaly in remote sensing of the study area. The iron staining anomaly area accounts for 1.63% and the hydroxyl anomaly area accounts for 1.26%. the correlation ratio between mineral deposits and remote sensing anomalies is 45.5%. It indicates that this method is effective in extracting remote sensing mineralization alteration information in areas with high vegetation coverage, and has certain significance of ore demonstration.
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