Please wait a minute...
 
国土资源遥感  2015, Vol. 27 Issue (2): 154-159    DOI: 10.6046/gtzyyg.2015.02.24
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于峰值权重的岩心高光谱矿化蚀变信息提取
张媛1, 张杰林2, 赵学胜1, 袁博1
1. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083;
2. 核工业北京地质研究院遥感重点实验室, 北京 100029
Extraction of mineral alteration information from core hyperspectral images based on weight of absorption peak
ZHANG Yuan1, ZHANG Jielin2, ZHAO Xuesheng1, YUAN Bo1
1. China University of Mining and Technology(Beijing), Beijing 100083, China;
2. National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China
全文: PDF(4501 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 针对传统的光谱角制图(spectral angle mapping,SAM)方法在岩心高光谱矿化蚀变信息提取中的局限性,提出了一种基于光谱特征区间吸收峰值权重的高光谱蚀变信息提取方法。首先,在图像反射率转换、噪声去除和端元提取基础上,系统分析了岩心高光谱图像中与铀成矿密切相关的伊利石化、绿泥石化和碳酸盐化等3种铀矿化蚀变的诊断性光谱吸收特征; 然后,分别选取同类蚀变光谱曲线之间差异较小的部分作为特征区间,并对特征区间内峰值处的1个波段的反射率设置权重; 最后对分别添加权重的参考端元与图像像元进行特征区间内的光谱角计算,实现3种典型铀矿化蚀变信息的提取。该方法突出了吸收峰值和局部光谱信息,能够很好地对同一蚀变进行聚类,区分不同蚀变种类。精度验证和对比结果表明,该方法在权重系数ω=2时,岩心高光谱矿化蚀变信息提取精度可提高20%以上,应用效果显著。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
梁树能
甘甫平
魏红艳
肖晨超
张振华
魏丹丹
关键词 遥感地质试验场综合应用建设进展    
Abstract:Aimed at overcoming the defects of the spectral angle mapping(SAM)in extraction of mineral alteration information from core hyperspectral images, the authors proposed an improved method based on a weight in the absorption valley in hyperspectral information identification. Firstly, through necessary reflectivity conversion, noise filtering and selection of end-members in the original image, the authors systematically analyzed the diagnostic absorption features of three typical types of altered minerals closely related to uranium mineralization (i.e., illitization, chloritization and carbonatization)in the core hyperspectral image. Then a range called feature range was selected which has little difference between the same kind of altered minerals on their spectral curves. The authors used SAM between end-members and pixels in this feature range after setting up a weight on absorption peaks within a band scope, and finally achieved the recognition and extraction of these three typical uranium mineralization alteration minerals. The method proposed in this paper highlights the important part of spectral information and its absorption peak, and can better cluster the same kind of alterations and distinguish different alteration types. Contrasting and precision test results show that the accuracy can be improved by over twenty percent when ω=2, and the application effect of extracting information of altered minerals from core hyperspectral image is remarkable.
Key wordsremote sensing geological test field    comprehensive application    construction progress
收稿日期: 2014-03-19      出版日期: 2015-03-02
:  TP751.1  
基金资助:"十二五"科研项目"成矿要素高分辨率遥感信息识别技术研究"(编号: H1142)和国家自然科学基金项目"顾及多类型数据无缝融合的全球离散格网自适应建模"(编号: 41171306)共同资助。
作者简介: 张媛(1988-),女,硕士研究生,主要研究方向为高光谱遥感。Email:479249381@qq.com。
引用本文:   
张媛, 张杰林, 赵学胜, 袁博. 基于峰值权重的岩心高光谱矿化蚀变信息提取[J]. 国土资源遥感, 2015, 27(2): 154-159.
ZHANG Yuan, ZHANG Jielin, ZHAO Xuesheng, YUAN Bo. Extraction of mineral alteration information from core hyperspectral images based on weight of absorption peak. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 154-159.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2015.02.24      或      https://www.gtzyyg.com/CN/Y2015/V27/I2/154
[1] 张婷婷,唐菊兴,郭娜,等.高光谱遥感在斑岩矿床蚀变信息提取中的应用[J].矿物学报,2011(s1):922. Zhang T T,Tang J X,Guo N,et al.Application of hyperspectral remote sensing in alteration information extraction of porphyry deposits[J].Acta Minalogica Sinica,2011(s1):922.
[2] 张杰林,黄艳菊,王俊虎,等.铀矿勘查钻孔岩心高光谱编录及三维矿物填图技术研究[J].铀矿地质,2013,29(4):249-255. Zhang J L,Huang Y J,Wang J H,et al.Hyperspectral drilling core logging and 3D mineral mapping technology for uranium exploration[J].Uranium Geology,2013,29(4):249-255.
[3] 甘甫平,王润生.高光谱遥感技术在地质领域中的应用[J].国土资源遥感,2007,19(4):57-60.doi:10.6046/gtzyyg.2007.04.13. Gan F P,Wang R S.The application of the hyperspectral imaging technique to geological investigation[J].Remote Sensing for Land and Resources,2007,19(4):57-60.doi:10.6046/gtzyyg.2007.04.13.
[4] Kruse F A,Lefkoff A B,Boardman J W,et al.The spectral image processing system(SIPS)-interactive visualization and analysis of imaging spectrometer data[J].Remote Sensing of Environment,1993,44(2/3):145-163.
[5] Robila S.An investigation of spectral metrics in hyperspectral image preprocessing for classification[C]//Geospatial Goes Global:from Your Neighborhood to the Whole Planet.ASPRS Annual Conference,Baltimore,Maryland.2005:7-11.
[6] Hecker C,van der Meijde M,van der Werff H,et al.Assessing the influence of reference spectra on synthetic SAM classification results[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(12):4162-4172.
[7] 王瀛,郭雷,梁楠.逐波段修正负相关的光谱角填图算法[J].火力与指挥控制,2013,38(2):22-25. Wang Y,Guo L,Liang N.A spectral angle mapper algorithm modified negative correlation band by band[J].Fire Control & Command Control,2013,38(2):22-25.
[8] 甘甫平,王润生.遥感岩矿信息提取基础与技术方法研究[M].北京:地质出版社,2004. Gan F P,Wang R S.Studies on Basis and Technique Methods of Remote Sensing Minerals Information Extraction[M].Beijing:Geological Publishing House,2004.
[9] 何中海,何彬彬.基于权重光谱角制图的高光谱矿物填图方法[J].光谱学与光谱分析,2011,31(8):2200-2204. He Z H,He B B.Weight spectral angle mapper(WSAM)method for hyperspectral mineral mapping[J].Spectroscopy and Spectral Analysis,2011,31(8):2200-2204.
[10] 唐宏,杜培军,方涛,等.光谱角制图模型的误差源分析与改进算法[J].光谱学与光谱分析,2005,25(8):1180-1183. Tang H,Du P J,Fang T,et al.The analysis of error sources for SAM and its improvement algorithms[J].Spectroscopy and Spectral Analysis,2005,25(8):1180-1183.
[11] 别小娟,张廷斌,孙传敏,等.藏东罗布莎蛇绿岩遥感岩矿信息提取方法研究[J].国土资源遥感,2013,25(3):72-78.doi:10.6046/gtzyyg.2013.03.13. Bie X J,Zhang T B,Sun C M,et al.Study of methods for extraction of remote sensing information of rocks and altered minerals from Luobusha ophiolite in east Tibet[J].Remote Sensing for Land and Resources,2013,25(3):72-78.doi:10.6046/gtzyyg.2013.03.13.
[12] 张志军,甘甫平,李贤庆,等.基于ASTER数据的蚀变矿物信息提取——以哈密黄山铜镍矿区为例[J].国土资源遥感,2012,24(2):85-91.doi:10.6046/gtzyyg.2012.02.16. Zhang Z J,Gan F P,Li X Q,et al.The extraction of altered mineral information based on ASTER data:A case study of the Huangshan copper-nickel ore district in Hami[J].Remote Sensing for Land and Resources,2012,24(2):85-91.doi:10.6046/gtzyyg.2012.02.16.
[13] 徐元进.面向找矿的高光谱遥感岩矿信息提取方法研究[D].武汉:中国地质大学,2009. Xu Y J.Research of Prospecting-Oriented Approaches to Information Extraction of Rocks and Minerals Using Hyperspectral Remote Sensing Data[D].Wuhan:China University of Geosciences,2009.
[14] 邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010. Deng S B.Processing Methods of ENVI Remote Sensing Imaging[M].Beijing:Science Press,2010.
[15] 地质部情报研究所.矿物岩石的可见-中红外光谱及其应用遥感专辑(第一辑)[M].北京:地质出版社,1980. Information Research Institute of Geology Ministry.Remote Sensing Album of the Mineral Rock Visible-infrared Spectroscopy and Its Application(the First Series)[M].Beijing:Geological Publishing House,1980.
[16] 傅锦,裴承凯,韩晓青,等.基于多元统计技术的铀矿蚀变信息高光谱模型[J].世界核地质科学,2007,24(3):166-171. Fu J,Pei C K,Han X Q,et al.Hyperspectral model for information of uranium mineral alteration technique based on mathematical statistics analysis[J].World Nuclear Geoscience,2007,24(3):166-171.
[17] 雷天赐,祝明强,周万蓬.高光谱数据挖掘在蚀变矿物识别与提取中的应用[J].资源环境与工程,2005,19(3):213-219. Lei T C,Zhu M Q,Zhou W P.Application on data mining of hyperspectrum to identification and extraction of alteration minerals[J].Resources Environment & Engineering,2005,19(3):213-219.
[1] 梁树能, 甘甫平, 魏红艳, 肖晨超, 张振华, 魏丹丹. 哈密遥感地质资源评价综合应用野外试验场建设进展[J]. 国土资源遥感, 2015, 27(2): 8-14.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发