期刊文献+

高光谱数据挖掘在蚀变矿物识别与提取中的应用 被引量:7

APPLICATION ON DATA MINING OF HYPERSPECTRUM TO IDENTIFICATION AND EXTRACTION OF ALTERATION MINERALS
下载PDF
导出
摘要 略叙了当前国内外高光谱遥感技术在矿物识别中的应用现状,基于岩石矿物晶体场理论、离子与矿物的光谱识别规则,采用诊断性吸收特征谱带、空间数据挖掘理论、遥感信息建模等技术开展蚀变矿物识别与提取研究。针对具体的操作步骤建立了相关流程图,为以后的岩矿遥感提取工作建立了初步理论依据。 This paper deals with chemical components in ground water and calculation of SI values, considering groundwater is chemically made up dominantly of simple ions and complex anions. Certainly complexes is also significant among the chemical species. The important affection of the existent complexes on saturation index SI value is illuminated through a case.
机构地区 东华理工学院
出处 《资源环境与工程》 2005年第3期213-219,共7页 Resources Environment & Engineering
关键词 高光谱 诊断性吸收特征光谱 数据挖掘 蚀变矿物 Groundwater Existence form Complex Saturation index (SI)
  • 相关文献

参考文献7

二级参考文献52

  • 1唐军武.海洋波谱数据分析处理系统[J].海洋技术,1996,15(4):10-17. 被引量:2
  • 2王晋年,郑兰芬,童庆禧.成象光谱图象光谱吸收鉴别模型与矿物填图研究[J].环境遥感,1996,11(1):20-31. 被引量:63
  • 3郭小方.成像光谱遥感地质研究的理论基础和数据处理技术研究,博士论文[M].,1998..
  • 4Acron[EB/OL].http://www.aigllc.com/acron/intro.asp.
  • 5Baugh W M, Kruse F A, et al. Quantitative geochemical mapping of ammonium minerals in the Southern Cedar Mountains, Nevada, using the airborne visible/infrared imaging spectrometer(AVIRIS) [J].Remote Sens. Environ.,1998, 65:292-308.
  • 6Clark N R. Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy[EB/OL].http://speclab.cr.usgs.gov (last revised June 25,1999).
  • 7Gan F, Wang R, Ma A. Spectral Identification Tree (SIT) for Mineral Extraction Using AVIRIS Data[C]. Proceedings of SPIE, 2000,4897.
  • 8Hearn D, Digenis C J, Lencioni D E, et al. EO-1 Advanced Land Imager Overview[C].IEEE 2001 International Geoscience and Remote Sensing Symposium, July 9-13,2001.
  • 9Liao L, JarEckc P, Glcichauf D, et al. Performance Characterization of the hyperion Imaging spectrometer Instrument[C].Proceedings of SPIE, 2000, 4135:264-275.
  • 10Pearlman J, Carman S, Segal C, et al. Overview of the Hyperion Imaging Spectrometer for the NASA EO-1 Mission[C]. 2001 International Geoscience and Remote Sensing Symposium, July 9-13,2001.

共引文献205

同被引文献211

引证文献7

二级引证文献42

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部