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遥感技术与应用  2016, Vol. 31 Issue (5): 950-957    DOI: 10.11873/j.issn.1004-0323.2016.5.0950
数据与图像处理     
基于Landsat-8 OLI和GF-1 PMS数据融合的铁染蚀变信息提取
王守志1,2,邢立新1,仲波2,杨爱霞2,张福坤1,梁敏1
(1.吉林大学地球探测科学与技术学院,吉林 长春 130026;
2.中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100101)
Extraction of Iron Stained Alteration Information based on Landsat\|8 OLI and GF-1 PMS Data
Wang Shouzhi1,2 ,Xing Lixin1,Zhong Bo2,Yang Aixia2,Zhang Fukun1,Liang Min1
(1.College of Geoexploration Science and Technology,Jilin University,Changchun 130026,China;
2.Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth
State Key Laboratory of Remote Sensing,Beijing 100101,China)
 全文: PDF(11017 KB)  
摘要:

通过对Landsat-8 OLI的多光谱波段与GF-1 PMS的全色波段进行数据融合,并基于融合后的数据,利用主成分分析法对研究区的铁染蚀变信息进行了提取。为了验证融合后的数据在矿化信息提取中的优势,将数据融合前后分别提取的铁染蚀变信息结果进行了对比分析。结果表明:基于融合后的数据比不进行融合的数据能够提取更丰富的蚀变信息,尤其是对微小特征的提取效果更好。

关键词: Landsat-8 OLI;GF\1 PMS;数据融合;主成分分析;铁染蚀变信息    
Abstract:

A fused image using multispectral bands of Landsat-8 OLI and panchromatic band of GF-1 PMS is used to extract iron stained alteration information in the study area.The method of principal component analysis is used in this study.In order to verify the advantage of the fused data in mineralized information extraction,a comparison of the extracted iron stained alteration information between before and after data fusing is done.The result shows that it can extract more alteration information by using the fused data than the non-fused data,especially for small features.

 

Key words: Landsat-8 OLI    GF-1 PMS    Data fusion    Principal Component Analysis(PCA)    Iron stained alteration information
收稿日期: 2015-10-08 出版日期: 2016-11-25
:  TP 79  
基金资助:

国家863计划项目“星机地综合观测定量遥感融合处理与共性产品生产系统”(2013AA12A301),中国科学院西部行动计划项目“黑河流域生态—水文遥感产品生产算法研究与应用试验”(KZCX2-XB3-15)。

通讯作者: 仲波(1978-),男,四川石棉人,副研究员,主要从事定量遥感反演系统、遥感数据处理和气溶胶遥感方面的研究。Email:bzhongl@gmail.com。    
作者简介: 王守志(1989-),男,河南濮阳人,硕士研究生,主要从事遥感数据处理和气溶胶遥感方面的研究。Email:Httpwmz@163.com。
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引用本文:

王守志,邢立新,仲波,杨爱霞,张福坤,梁敏. 基于Landsat-8 OLI和GF-1 PMS数据融合的铁染蚀变信息提取[J]. 遥感技术与应用, 2016, 31(5): 950-957.

Wang Shouzhi,Xing Lixin,Zhong Bo,Yang Aixia,Zhang Fukun,Liang Min. Extraction of Iron Stained Alteration Information based on Landsat\|8 OLI and GF-1 PMS Data. Remote Sensing Technology and Application, 2016, 31(5): 950-957.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.5.0950        http://www.rsta.ac.cn/CN/Y2016/V31/I5/950

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