J4 ›› 2011, Vol. 41 ›› Issue (3): 932-936.

• 地球探测与信息技术 • 上一篇    下一篇

融合化探信息的遥感异常提取

蒋立军1|邢立新2|梁一鸿1|潘军2|梁立恒2|黄竞铖2   

  1. 1.吉林大学地球科学学院|长春 130061;
    2.吉林大学地球探测科学与技术学院|长春 130026
  • 收稿日期:2010-10-09 出版日期:2011-05-26 发布日期:2011-05-26
  • 通讯作者: 邢立新(1954-),女,吉林伊通人,教授,博士生导师,主要从事遥感与地理信息系统科研与教学工作 E-mail:xinglx@jlu.edu.cn
  • 作者简介:蒋立军(1984-)|男|山东聊城人|博士研究生|主要从事遥感数字图像处理、遥感信息处理、综合信息矿产预测方面研究|E-mail:jianglijun_2002@163.com
  • 基金资助:

    中国地质调查局项目(1212010761502)

Anomalies Information Extraction |from Geochemical Data and Remote Sensing Fusion

JIANG Li-jun1, XING Li-xin2, LIANG Yi-hong1,PAN Jun2, LIANG Li-heng2, HUANG Jing-cheng2   

  1. 1. College of Earth Sciences, Jilin University, Changchun130061, China;
    2. College of GeoExploration Science and Technology, Jilin University, Changchun130026, China
  • Received:2010-10-09 Online:2011-05-26 Published:2011-05-26

摘要:

遥感信息与化探信息为地表地质体或地质现象物理特性和化学特性的表现,矿物特征光谱是对矿物化学组分的响应,二者存在密切的关联。2种信息融合既要达到空间位置的精确对应,又要根据物质成因的相关性,实现2种数据间数据层、决策(符号)层等不同层次的数据耦合,提高异常信息提取的准确度。通过对遥感与化探信息形成机理及特点的分析可知,二者在空间和成因上具有一定的相关性。采用反距离加权插值法,将化探散点数据转化为栅格数据结构并进行空间尺度的转换和配准,选择和研究区异常相关的4种元素(Au、As、Sb、Bi)与原始遥感数据进行融合,对融合后数据采用主成分分析的方法对内蒙古苏尼特左旗地区进行蚀变信息提取,较单独利用遥感数据提取结果剔除了无意义的异常信息点,异常区域更为具体。经野外检查,验证多处地表岩石蚀变的存在,证实了该方法的有效性。

关键词: 空间尺度转换, 加权融合, 主成分分析, 蚀变信息提取

Abstract:

The mineral characteristic spectrum is in response to the mineral geochemical information, and they are closely linked with each other. These two kinds of information are to achieve precise correspondence on spatial position, and to achieve the coupling relationship on the different levels of both data according to the correlation of the two in genesis, for instance, data layer and decision-making (sign) level, and to improve the accuracy of extracting anomaly information. By analyzing the  remote sensing and geochemical information characteristics and formation mechanisms we can konw that both in space and on the causes they have a certain relevance. Use the inverse distance to a power, changed geochemical data into raster data structure and did spatial scale of the conversion and registration, selected four elements(Au,As,Sb,Bi) which related to the anomaly of the study area to weight fusion with remote sensing data, used the method of principal component analysis to process data, and then extracted the alteration information of Sonid Zuoqi area, Inner Mongolia, compared to using remote sensing data alone this method removed false anomaly points and get a more specific abnormal area. Through outdoor work, the field survey suggested that lots of surface rock alteration existed, proved the validity of the method.

Key words: spatial scale conversion, weighted fusion, principal component analysis, extraction of alteration information

中图分类号: 

  • P407.8
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