高光谱遥感技术在矿山地质填图中的应用研究

Study on lithology classification of hyperspectral images based on spectral Angle and EXTREME learning Machine model

矿山地质填图是地质勘查领域的重要工作,为避免大量社会资源的浪费,可应用高光谱遥感技术对矿山周边地区岩性空间信息进行快速识别。基于此,本文以青海省冷湖地区作为研究对象,选择ZY1-02D高光谱影像为数据源,详细阐述了高光谱遥感技术矿山地质勘查中的应用流程,以期提升矿山地质填图的质量和效率。

Mine geological mapping is an important work in the field of geological exploration.In order to avoid the waste of a large number of social resources,hyperspectral remote sensing technology can be used to quickly identify the lithology spatial information in the surrounding areas of mines.Based on this,this paper takes Lenghu Area in Qinghai Province as the research object,selects ZY1-02D hyperspectral image as the data source,and elaborates the application process of hyperspectral remote sensing technology in mine geological exploration in order to improve the quality and efficiency of mine geological mapping.