Method for extraction of ferric contamination anomaly from high-resolution remote sensing data and its applications
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摘要: 利用多光谱遥感数据提取异常信息在我国西部地质工作程度较低的基岩裸露、半裸露地区是一种快速经济的找矿手段。在目前常用的中、低空间分辨率遥感数据中,铁染异常多为混合像元,直接影响着异常信息提取的精度。针对这一问题,在分析铁染异常的地质依据和波谱特征基础上,确定了WorldView2和IKONOS等高分辨率遥感数据与铁染异常特征波谱范围相对应的波段,采用主成分变换方法进行铁染异常信息提取。在西昆仑黑恰一带基于IKONOS数据进行铁染异常信息提取时,新发现规模较大的菱铁赤铁矿化带;在西昆仑老并一带基于World-View2数据提取的铁染异常区与磁铁矿化范围基本吻合。研究结果表明,利用高分辨率遥感数据提取铁染异常的精度较高。
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关键词:
- WorldView2 /
- IKONOS /
- 铁染异常 /
- 主成分变换 /
- 西昆仑
Abstract: The utilization of multi-spectral remote sensing data to extract anomalies in western China is a fast and economical method, but the spatial resolution of the data available is low and the ferric contamination anomaly appears as mixed pixels so that the accuracy of extraction for ferric contamination anomaly is poor. In view of the deficiency of extraction for ferric contamination anomaly with low resolution remote sensing data, the authors, through analyzing the geological basis and spectral features of ferric contamination anomaly, determined the wave bands of high resolution remote sensing data, such as WorldView2 and IKONOS, and used principal component analysis to extract ferric contamination anomaly. A large - sized iron ore belt in Heiqia of Western Kunlun Mountains was found, and the ferric contamination anomalies coincident with the magnetite mineralization in Laobing of Western Kunlun Mountains were extracted. The results show that the accuracy of extracting ferric contamination anomaly with high resolution remote sensing data is satisfactory. -
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