郑纬,朱谷昌,张远飞,石菲菲,王冬寅,李红.菲律宾宿务岛地区矿化蚀变图像识别与提取分析[J].地质找矿论丛,2011,26(2):222-228
菲律宾宿务岛地区矿化蚀变图像识别与提取分析
Discrimination and extraction and analysis of mineralization and alteration information in Cebu island area, Philippines from remote sensing images
投稿时间:2010-03-02  修订日期:2011-04-28
DOI:10.6053/j.issn.1001-1412.2011.2. 015
中文关键词:  遥感蚀变信息  背景与干扰  二维散点图  Crosta法  波段选择  菲律宾
英文关键词:remote sensing alteration information  background and interference  planar scatter plot  crosta method  band selection  philippines
基金项目:
作者单位
郑纬 中南大学地学与环境工程学院, 长沙410083 
朱谷昌 中南大学地学与环境工程学院, 长沙410083
有色金属矿产地质调查中心, 北京100012 
张远飞 有色金属矿产地质调查中心, 北京100012 
石菲菲 有色金属矿产地质调查中心, 北京100012 
王冬寅 中南大学地学与环境工程学院, 长沙410083 
李红 中南大学地学与环境工程学院, 长沙410083 
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中文摘要:
      文章通过遥感多波段数据的背景端元数M值的估计方法、回归偏度曲线分析和地物光谱反射特征来选择信息提取的特征波段;在综合分析的基础上,选择基于Crosta法的F因子与H因子分析方法,根据不同蚀变信息提取的波段选择,以自行开发的软件对律宾宿务岛地区遥感图像进行矿化蚀变信息检测与提取。提取结果表明,区内己知的矿床(点)和矿化蚀变带均在所提取的蚀变信息异常内。
英文摘要:
      Within the technical framework about "multi-level remote sensing alteration information separation and extraction" the complex remote sensing alteration information extraction is transformed to the analysis of the three targets i.e.,background,interference and alteration of a remote sensing image on basis of diagnosis of the remote sensing image characteristics.The geometric structural analysis of spectral data space(also known as feature space) is apllied to the research and spatial orientation of the clustering structure of the three targets,especially for the identification and division of interference factors.By means of M value estimation of end member of multi-band remote sensing data the background-abnormal subspace is determined.Then characteristic bands for the information extraction are chosen with regression skewness curve analysis and spectral reflectance characteristics of surface features.Based on the comprehensive analysis,Crosta-based F and H factor analysis and characteristic bands chosen for the alteration information extraction we developed software to extract mineralization and alteration information in Cebu Island,Philippines from remote sensing images.Results show that the known deposits are all in the extracted anomaly areas and the extraction technology should be popularized.
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