吉林大学学报(地球科学版) ›› 2015, Vol. 45 ›› Issue (4): 1237-1245.doi: 10.13278/j.cnki.jjuese.201504303

• 地球探测与信息技术 • 上一篇    下一篇

ASTER遥感影像与航磁梯度数据综合应用

贾伟洁1, 郭华1,2, 李迁1   

  1. 1. 中国国土资源航空物探遥感中心, 北京 100083;
    2. 中国地质大学(北京)地球物理与信息技术学院, 北京 100083
  • 收稿日期:2014-08-07 发布日期:2015-07-26
  • 作者简介:贾伟洁(1985),女,工程师,主要从事航空物探与遥感数据处理与方法技术研究,E-mail:sunleaver@gmail.com.
  • 基金资助:

    中国地质调查局地质大调查项目(12120113099000)

Integrated Application of ASTER Remote Sensing Image and Aeromagnetic Gradient Data

Jia Weijie1, Guo Hua1,2, Li Qian1   

  1. 1. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China;
    2. School of Geophysics and Geoinformation Technology, China University of Geoscience, Beijing 100083, China
  • Received:2014-08-07 Published:2015-07-26

摘要:

以中国北部某地区为研究区域,通过研究区典型矿物与典型地物波谱分析,利用主成分分析与波段比值方法,对ASTER数据的蚀变信息进行提取,获取地表蚀变信息.同时根据实际飞行测量所得的航磁梯度数据解译梯度异常,获取地表以下的岩性构造信息,并圈定航磁梯度找矿远景区.最后,利用这两种数据优势,建立遥感和航磁梯度综合远景区判断依据,划分出研究区一级综合远景区3处,二级综合远景区3处,三级综合远景区2处,并进行实地踏勘.结果表明,遥感与物探方法的结合,可以提高地质勘查的准确度与效率.

关键词: ASTER, 波谱分析, 蚀变信息, 航磁梯度异常, 综合远景区

Abstract:

Some place in North of China was taken as the study area in this paper. Through the research of typical areas and mineral feature spectrum analysis, by using principal component analysis and band ratio, we extracted surface alterations of ASTER data. At the same time, based on the actual flight data of the aeromagnetic gradient, we interpreted gradient anomaly, achieved deep structure and underground ore body information, and delineated aeromagnetic gradient promising prospective areas. By taking advantage of these two types of data, we built judgment criteria of remote sensing and aeromagnetic gradient information promising prospective areas. Based on this, three first class comprehensive promising prospective areas, three second class comprehensive promising prospective areas, and two third class comprehensive promising prospective areas were delineated. Many field explorations were made. The result proves that our method makes geological survey more quick and accurate.

Key words: ASTER, spectrum analysis, alteration information, aeromagnetic gradient abnormal, comprehensive promising perspective area

中图分类号: 

  • P627

[1] 熊盛青. 我国航空重磁勘探技术现状与发展趋势[J]. 地球物理学进展,2009,24(1):113-117. Xiong Shengqing. The Present Situation and Development of Airborne Gravity and Magnetic Survey Techniques in China[J]. Progress in Geophysics, 2009,24(1): 113-117.

[2] 吴德文,朱谷昌,张远飞,等. 多元数据分析与遥感矿化蚀变信息提取模型[J].国土资源遥感,2006,67(1): 22-25. Wu Dewen, Zhu Guchang, Zhang Yuanfei, et al. The Multivariate Data Analysis and the Model for Extracting Remote Sensing Mineralization and Alteration Information[J]. Remote Sensing for Land and Resource,2006,67(1): 22-25.

[3] 潘军.多元地学空间数据融合及可视化研究[D].长春:吉林大学,2006: 25-27. Pan Jun. Study of Data Fusion and Visual for Multisource Geo-Special Data[D].Changchun: Jilin University, 2006: 25-27.

[4] 郭娜,郭科,胡敬仁,等.多元信息分析技术在西藏林周地区找矿中的应用[J].成都理工大学学报:自然科学版.2011,38(4): 463-470. Guo Na, Guo Ke, Hu Jingren, et al. Technology of Multi-Element Information Analysis Used for Seeking Ore Deposits in Linzhou Area of Tibet China[J]. Journal of Chengdu University of Technology: Science & Technology Edition, 2011,38(4): 463-470.

[5] 肖克炎,娄德波,黄文斌,等.区域矿产预测图及综合解释模型[J].吉林大学学报:地球科学版,2012,42(6): 1966-1975. Xiao Keyan, Lou Debo, Huang Wenbin, et al. Regional Mineral Prediction Map and Interpretation Model of Integrated Geological Information[J]. Journal of Jilin University: Earth Science Edition, 2012,42(6): 1966-1975.

[6] 骆遥, 段树岭,王金龙,等. AGS-863 航磁全轴梯度勘查系统关键性指标测试[J]. 物探与化探, 2011, 35(5): 620-625. Luo Yao, Duan Shuling, Wang Jinlong, et al. Key Indicators Testing for AGS-863 Three Axis Airborne Magnetic Gradiometer[J]. Geophysical & Geochemical Exploration. 2011, 35(5): 620-625.

[7] 郭华,王平,谢汝宽.航磁全轴梯度数据地质解释优势研究[J].地球物理学进展,2013,28(5): 2687-2692. Guo Hua, Wang Ping, Xie Rukuan. A Study of Geological Interpretation with the Tri-Axial Aeromagnetic Gradients[J]. Progress in Geophysics,2013,28(5): 2687-2692.

[8] 谢汝宽,王平,郭华,等. 考虑航磁水平梯度变化的 网格化方法研究[J].地球物理学报,2013,56(2): 660-666. Xie Rukuan, Wang Ping, Guo Hua, et al. Aeromagnetic Total Field Gridding Enhancement with Horizontal Gradient[J]. Chinese Journal of Geophysics, 2013, 56(2): 660-666.

[9] Cowan D R, Baigent M, Cowan S. Aeromagnetic Gradiometers: A Perspective[J]. Exploration Geophysics, 1995, 26(3): 241-246.

[10] 李晓禄, 常树帅. 航磁梯度测量及其在砂岩型铀矿勘查中的应用初探[J]. 铀矿地质, 2009, 25(6): 355-360. Li Xiaolu, Chang Shushuai. Aeromagnetic Gradient Survey and Elementary Application in Sandstone Type Uranium Deposits Prospecting[J]. Uranium Geology, 2009, 25(6): 355-360.

[11] 郭华, 吴燕冈, 高铁.重力斜导数方法在时间域中的理论模型与研究[J].吉林大学学报:地球科学版, 2006, 36: 9-14. Guo Hua, Wu Yangang, Gao Tie. The Research of Theories Model in Time Area with the Method of Tilt Derivative in Gravity[J].Journal of Jilin University: Earth Science Edition, 2006, 36: 9-14.

[12] 张玉君,姚佛军.应用多光谱ASTER数据对ETM遥感异常的定性判别研究:以东昆仑五龙沟为例[J].岩石学报,2009,25(4): 943-970. Zhang Yujun, Yao Fujun. Application Study of Multi-Spectral ASTER Data for Determination of ETM Remote Sensing Anomaly Property: Taking Wulonggou Region of Eastern KunLun Mountain Range as Example[J]. Acta Petrologica Sinica, 2009, 25(4): 943-970.

[13] 张玉君,曾朝铭,陈薇. ETM+(TM)蚀变遥感异常提取方法研究与应用:方法选择和技术流程[J].国土资源遥感, 2003(2): 44-49. Zhang Yujun, Zeng Zhaoming, Chen Wei. The Methods for Extraction of Alteration Anomalies from the ETM+(TM) Data and Their Application: Method Selection and Technological Flow Chart[J]. Remote Sensing for Land and Resource, 2003(2): 44-49.

[14] Clark R N, Swayze G A, Wise R, et al. USGS Digital Spectral Library Splib06a[R].[s.l.]: U S Geological Survey, 2007: 457-489.

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