检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:田丰[1] 孙雨[1] 赵英俊[1] 秦凯[1] 邱骏挺[1] TIAN Feng;SUN Yu;ZHAO Yingjun;QIN Kai;QIU Junting(National Key Laboratory of Remote Sensing Information and Image Analysis Technology Beijing Research Institute of Uranium Geology,Beijing 100029,China)
机构地区:[1]核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室,北京100029
出 处:《世界核地质科学》2023年第3期863-873,共11页World Nuclear Geoscience
基 金:遥感信息与图像分析技术国家级重点实验室稳定支持项目(编号:JCKY2022201CRS021);遥感信息与图像分析技术国家级重点实验室稳定支持项目(编号:JCKY2021201CRS021);预先研究项目(编号:32101070104)联合资助。
摘 要:航空热红外高光谱遥感作为近年新发展起来的对地观测技术,同时具有高空间分辨率和高光谱分辨率的技术特点,具备从空间大尺度上精细探测和分析地表造岩矿物成分的能力。基于航空热红外高光谱TASI数据,在分析常见矿物发射波谱特征的基础上,开展了柳园研究区岩性识别和分类研究,充分发掘TASI数据图谱合一特点,图像分类,光谱定性,从每种岩体、地层岩性单元的光谱角度对所属岩性进行判定。结合研究区花岗岩地质背景,系统分析标型矿物SiO2受岩石共生矿物影响的光谱规律变化特性,进行岩性识别和评价试验。结果表明:航空热红外高光谱可全面提高遥感岩矿识别的种类和精度,为大区域的矿物识别和岩性分类提供了一种新的快速有效的手段。Aerial thermal infrared hyperspectral remote sensing,as a newly developed Earth observation technology in recent years,has the characteristics of high spatial resolution and high spectral resolution,and has the ability to finely detect and analyze the composition of surface rock forming minerals on a large spatial scale.This study is based on aviation thermal infrared hyperspectral TASI data.On the basis of analyzing the emission spectrum characteristics of common minerals,a study on lithology recognition and classification in Liuyuan study area was conducted.The integration characteristics of TASI data spectrum,image classification,and spectral qualitative analysis were fully explored,and the attributes of rock units were judged from the perspective of each stratigraphic unit spectrum.Based on the geological background of the granite type in the study area,systematic analysis of the spectral variation characteristics of standard mineral SiO2 affected by rock associated minerals,and conduct lithology identification and evaluation experiments.This study indicates that aerial thermal infrared hyperspectral imaging can comprehensively improve the types and accuracy of remote sensing rock and mineral identification,providing a new fast and effective means for mineral identification and lithology classification in large regions.
分 类 号:P627[天文地球—地质矿产勘探]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7