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最优密度分割法在西昆仑遥感蚀变提取中的应用 被引量:2

Application of Optimal Density Segmentation in the Remote Sensing Alteration Extraction in West Kunlun Mountain
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摘要 以西昆仑地区为研究区,通过区域成矿地质背景和遥感图像数据统计分析,针对铁化蚀变在ETM不同波段上的反射特征,对研究区进行矿化蚀变信息的定量提取研究。结果表明,最优密度分割法的离差平方总和曲线在6段时趋于平缓,铁化蚀变总体分布较少且比较稀疏,根据成因类型和空间分布特征铁划蚀变侵入岩型铁染异常、地层铁染型异常等3种类型。 With West Kunlun Mountain as the study area, the metallogenic geological background and the ETM were studied by remote sensing techniques. According to reflectance characteristics of Fe^3+ alteration in different bands, mineral alteration information was extracted quantitatively. The results showed that the optimum segmentation method was an effective way to extract mineral alteration information. The curve of sum of deviations squares tended to slow when the ETM data was segmented to 6 parts. So the six parts segmentation method was the optimum partition in the area. The first three parts of the segmentation showed strongest distribution of Fe^3+ alteration. The alteration information distribution was scarce and sparse.
作者 陈利燕
出处 《安徽农业科学》 CAS 北大核心 2009年第25期12144-12145,共2页 Journal of Anhui Agricultural Sciences
基金 博士科研启动经费(08Cd159)
关键词 西昆仑 最优密度分割法 铁化蚀变 West Kunlun Mountain Optimal density segmentation Fe^3+ alteration
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