基于成像光谱技术的不可再生矿产资源监测系统

矿产资源是人类社会发展以及国民经济不可或缺的物质资源,针对不可再生的矿产资源进行监测十分必要。为此,提出并设计一种基于成像光谱技术的不可再生矿产资源监测系统。系统的硬件部分主要由不可再生矿产资源数据采集、分析以及帮助等模块组成,通过顶点成分分析进行端元提取,利用高光谱成像技术构建训练样本对其进行特征提取。结合最小距离分类方法实现不可再生矿产资源监测。仿真实验结果表明,所设计系统能够实时、准确监测不可再生矿产资源的变化情况。

Non-renewable mineral resource monitoring system based on imaging spectroscopy

Mineral resources are indispensable material resources in the development of human society and national economy.It is necessary to monitor the non-renewable mineral resources.Therefore,a non-renewable mineral resources monitoring system based on imaging spectrum technology is proposed and designed.The hardware part of the system is mainly composed of the non-renewable mineral resources data collection,analysis and help modules,through the vertex component analysis to extract the end element,and using the hyperspectral imaging technology to build training samples to extract the characteristics.Combined with the minimum distance classification method,non-renewable mineral resources monitoring is realized.The simulation results show that the designed system can accurately monitor the change of non-renewable mineral resources in real time.