摘要
高光谱遥感技术是由以Landsat为代表的多光谱遥感技术演化发展而成,于20世纪80年代中期初步成型,因其光谱分辨率高和图谱合一的优点,高光谱遥感技术具备从空间大尺度上精细探测和分析地表岩石矿物成分的能力。本文总结了高光谱矿物信息提取模型和方法,探讨了针对具体地区的地质背景和成矿条件选定有限的矿物种类作为信息提取目标是最直接、有效且经济实用的数据处理方式,为找矿勘探实践提供证据和思路。
Hyperspectral remote sensing technology is evolved from multispectral remote sensing technology represented by Landsat,and took shape initially in the mid-1980s.Due to its advantages of its high spectral resolu‐tion and the combination of spectra,hyperspectral remote sensing technology has the ability to accurately detect and analyze the composition of surface rocks and minerals on a large scale.This paper summarizes the hyperspectral mineral information extraction model and method,and discusses that selecting limited mineral types as the information extraction target according to the geological background and metallogenic conditions of specific areas is the most direct,effective,economic and practical data processing method,which provides evidence and ideas for prospecting and exploration practice.
作者
郭勇明
GUO Yongming(Xinjiang Baodi Mining Co.,Ltd.,Urumqi,Xinjiang Uygur Autonomous Region,830000 China)
出处
《科技创新导报》
2022年第29期21-24,共4页
Science and Technology Innovation Herald
关键词
高光谱
模式提取
智能化提取
提取流程
Hyperspectral
Pattern extraction
Intelligent extraction
Extraction process
