基于光谱匹配的高光谱遥感露天矿物识别方法研究

Research on hyperspectral remote sensing open-pit minerals identification method based on spectral matching

遥感技术为矿产资源开发利用、保护监测提供一种有效途径,本文基于高光谱遥感技术特点,提出一种基于光谱匹配的高光谱遥感露天矿物识别方法。该方法通过叠加高光谱数据和已有的矿产数据构建矿物光谱库,利用光谱匹配和光谱特征参量匹配的模式识别相结合方法实现露天矿物识别,提取露天矿物的空间位置和属性信息。本文以广东省某地为例进行实验验证,结果表明,研究方法能较有效地利用高光谱数据进行特定露天矿物识别提取,提取准确率满足矿产资源监测需求,为矿产资源保护利用、违法开采监测等提供依据。

Remote sensing technology provides an effective way for the development,utilization,protection and monitoring of mineral resources.Based on the characteristics of hyperspectral remote sensing technology,this paper proposes a method for open-air mineral identification based on spectral matching.By overlaying hyperspectral data and existing mineral data,a mineral spectral library is constructed,and the method of combining spectral matching and spectral absorption band parameter pattern recognition is used to realize the identification of open-pit minerals and extract the spatial location and attribute information of open-air minerals.This paper takes a certain area in northern Guangdong province as an example to conduct experimental verification.The results show that the method in this paper can effectively identify and extract specific open-air minerals through hyperspectral data,and the extraction accuracy can meet the monitoring needs of mineral resources,and provide a reference for monitoring illegal mining and mineral resources protection and utilization.