期刊文献+

人工免疫系统在地球化学异常中的应用 被引量:1

Application of artificial immunity system to geochemical anomaly
下载PDF
导出
摘要 地球化学元素测量数据中含有噪声,影响了圈定地球化学异常的准确性.本文率先采用人工免疫系统(AIS)对地球化学测量数据进行降噪,在此基础上确定地球化学异常,并绘制了异常等值线图.通过对西藏恒星错测区1:50000水系沉积物测量数据的处理,验证了人工免疫系统在地球化学数据降噪中的实用性和可靠性.圈定的异常基本上消除了各类假异常,使主致矿异常更加突出,更加显著地反映矿化体的分布,尤其是得到的异常与恒星错斑岩铜钼矿完全叠合,甚至映射了宽岩铜钼矿的边界和形态特征. The noise of geochemical elements in survey data decreases the accuracy of the determination of geochemical anomaly, and have drawn the anomaly isopleths graph. By processing the survey data from 1 : 50000 hydrographic deposits in Hengxingcuo of Tibet, this article indicates the availability and reliability of using Artificial Immunity System (AIS) in the noise reduction processing on geochemical anomaly. This anomaly formed clear morpha with high intensity. The circle anomaly eliminated most kinds of error anomaly, made the main mineral anomaly prominent, and reflected remarkably the mineral body distributing. Especially the anomaly completely overlapped the porphyry Mo and Cu in Hengxingcuo, and, to some extend, mapped the boundary and the morpha characteristics.
出处 《地球物理学进展》 CSCD 北大核心 2009年第3期1136-1141,共6页 Progress in Geophysics
基金 国家自然科学基金资助项目(40873035) 教育部博士点基金项目(200806160015) 中国地质调查局综合研究项目(200110200010)资助.
关键词 人工免疫系统 地球化学 分形 异常 噪声 AIS, geochemical, fraetal, anomaly, noise
  • 相关文献

参考文献9

二级参考文献148

共引文献375

同被引文献14

  • 1齐志华,张丽,陈志强.Kalman滤波在辐射图像降噪处理中的应用[J].清华大学学报(自然科学版),2005,45(3):396-398. 被引量:5
  • 2Zarchan P. Tactical and Strategic Missile Guidance[M]. AIAA, Inc,Washngton,DC, 1994.
  • 3Denaro R P, Loomis P V W. GPS Navigation Processing and Kalman Filtering[M]. AGARD, 1989,(161): 11.1-11.9.
  • 4Bar-Shalom Y, Li X R. Estimation and Tracking Principles, Techniques and Software[M]. Artrch, Norwood, MA, 1993.
  • 5Sorenson H W. Kalman Filtering: Theory and Applications[M]. IEEE Press, New York,1985.
  • 6Grewal M S, Andrews. Kalman filtering: Theory and application using Matlab (Second Edition)[M]. New York: A Wiley-IntersciencePublication,2008.
  • 7Kalman R E.A New Approach to Linear filtering and Prediction Theory. Trans. ASME[M]. Journal of Basic Eng,1960, 82D:35-46.
  • 8赵琳等.非线性系统滤波理论[M].北京:工业出版社,2012.
  • 9Daniel R Fuhrman, Geoffrey San Antonio. Kalman Filter and Extended Kalman Filter Using One-Step Optimal Measurement Selection[A] . IEEE International Waveform Diversity and Design Conference[C] .2007:312-315.
  • 10邱风云.Kalman滤波理论及其在通信与信号处理中的应用[D].山东:山东大学,2008:1-74.

引证文献1

二级引证文献6

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