铁尾矿光谱测量与遥感信息提取

Spectral measurement and remote sensing information extraction of iron tailings

铁矿粗放式开采造成尾矿资源的浪费和环境的污染,采用人工现场监测进行尾矿成分分析,效率低下且成本较高。采用卫星遥感技术对铁尾矿样本进行高光谱测量,通过基于样本面向对象试验方法,对铁尾矿高分辨率遥感影像进行分类提取,建立以铁尾矿光谱特征及其他参数特征为依据的铁尾矿遥感信息提取流程,采用混淆矩阵方法验证精度,实现铁尾矿高效、低成本、高精度监测分析,为铁尾矿监测和重复开发利用提供技术方法。

The waste of tailings resources is caused by rough mining of iron ore.It is inefficient and high cost to analyze tailings composition by manual on-site monitoring to judge whether it can be reused.Using satellite remote sensing technology,the iron tailings samples were measured by hyperspectral measurement.Based on the sample object-oriented experimental method,the high-resolution remote sensing images of iron tailings were classified and extracted,and the extraction process of iron tailings remote sensing information based on the spectral characteristics and other parameter characteristics of iron tailings was established,and the accuracy was verified by confusion matrix method high precision monitoring and analysis provide technical methods for iron tailings monitoring and repeated development and utilization.