多光谱遥感蚀变信息提取新方法研究被引量：30

NEW METHOD OF ALTERATION INFORMATION EXTRACTION FROM MULTI-SPECTRUM REMOTE SENSING DATA

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摘要文章以青海巴音山多金属矿化区为例,将高光谱数据处理方法运用于多光谱遥感数据中提取矿化蚀变信息。利用该区域的Landsat7 ETM遥感影像和标准光谱库中的特征蚀变矿物光谱为基本数据,借鉴已知矿物标准中的吸收谷特征,应用光谱特征匹配技术进行吸收谷谱区间和吸收谷深度对比,通过比较两者的相似性,达到提取蚀度矿物的目的,提取出许多有价值的似蚀变带遥感信息。结果证明了该方法在多光谱遥感矿化蚀变信息提取应用中的可行性,同时取得了较为满意的效果。 Taking Bayinshan polymetallic mineralization area in Qinghai province as an example, processing method of hyper - spectrum remote sensing is used to discriminate and extract alteration information from multi - spectrum data. Using absorbed value feature of known mineral criterion for reference, utilizing Landsat 7 ETM remote images and features of altered mineral spectrum from USGS, valuable alteration mineralization information are extracted by comparison of spectrum similarity. The reeults have proved this new method is feasible and effective in extracting alteration information from multi - spectrum data.

作者邹林杨自安朱谷昌吴德文相爱芹

机构地区有色金属矿产地质调查中心中南大学

出处《地质与勘探》 CAS CSCD 北大核心 2006年第6期71-76,共6页 Geology and Exploration

基金科技部"十五"科技攻关项目(编号:2003BA612A-04)资助

关键词终端单元光谱特征匹配矿化蚀变信息蚀变矿物光谱 end member, spectral characteristic matching, alteration mineralization information, altered mineral, spectrum

分类号 P627 [天文地球—地质矿产勘探]

作者简介邹林（1972年-），男，2004年毕业于中南大学，获硕士学位，工程师，现主要从事遥感地质、成矿预测及基于GIS的地球化学数据处理及分析的方法技术研究工作。

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1Cloutis E A. Hyperspectral geological remote sensing: evaluation of analytical techniques[EJ]. Int. J. B remote Sensing, 1996,17(12) :221 -224.
2Kruse F A , Kierrin - Young K S, Boardman J W. Mineral maping at Cuprite , Nevada With a 63 - channel imaging spectrometer[J]. Photo - grametric Engineering & Remote Sensing ,1990, 56(1) :83 -92.
3Pieters C M , Mustard J F. Exploration of Crustal / Mantlematerial for the Earth and Moon using reflectance spectroscopy [ J ]. Remote Sensing of Environment, 1988, 24 : 151 - 178.
4郑兰芬,王晋年.成像光谱遥感技术及其图像光谱信息提取的分析研究[J].环境遥感,1992,7(1):49-58. 被引量：48
5Boardman J W. Inversion of imaging spectrometry data using singular value decomposition [ A]. IGARSS89, 12th Canadian Symposium on Remote Sensing[ C ]. 1989,4:2069 - 2072.
6Boardman J W,Kmse F A. Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada[ A]. Tenth Thematic Conference on Geologic Remote Sensing[ C ]. Environmental Research Institute of Michigan, Ann Arbor,MI,1994:Ⅰ-407 -Ⅰ-418
7Boardman J W, Kruse F A, Green R O. Mapping target signatures via partial unmixing of AVIRIS data[ A]. Fifth JPL Airborne Earth Science Workshop [ C ]. JPL Publication, 1995,1:23 - 26.