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 theextracted anomaly areas and the extraction technology should be popularized.%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,区内已知的矿床(点)和矿化蚀变带均在所提取的蚀变信息异常内.
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