着力于充分利用遥感数据的时空特性及软件的智能开发,使在矿物识别中能获得事半功倍的效果.基于ASTER数据在可见光、近红外及热红外波段上的分布特性,利用USGS、JHU、ASU波谱库提供的矿物光谱,针对不同矿物类型的提取设计了特定的矿物识别模式.针对上述识别模式对ENVI进行二次开发利用,方便迅速地对内蒙古萨麦地区进行了矿物填图.研究结果表明:ASTER数据在识别矿物及矿物分类填图中展现出了优良的数据特性.ENVI二次开发功能强大,快捷有效.通过野外的勘探证实,分类效果良好.%This article focused on taking full advantage of the temporal and spatial characteristics of remote sensing data and intelligent software development, to work in the minerals identification with "half the work with twice the results". Based on the characteristics of ASTER data in VNIR.SWIR and LWIR band, design the specific patterns of mineral identification for different types of mineral extraction using the mineral spectrums, provided by USGS,JHU and ASU. Then identify the area of mineral mapping in Samai of Inner Mongolia by using the model developed by secondary development of ENVI. The results show that: ASTER data have excellent characteristics in identification of minerals and mineral classification mapping. ENVI secondary development is powerful,efficient and effective. Confirmed by field exploration.the classification effect is good.
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