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国土资源遥感  2014, Vol. 26 Issue (2): 140-147    DOI: 10.6046/gtzyyg.2014.02.23
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
贵州弱矿化蚀变遥感信息的分布特征
况忠1, 黄欣欣1, 况顺达2, 芦正艳1, 龙胜清1
1. 贵州省地质调查院, 贵阳 550005;
2. 西南能矿集团股份有限公司, 贵阳 550004
Distribution characteristics of remote sensing information on weak mineralization and alteration in Guizhou
KUANG Zhong1, HUANG Xinxin1, KUANG Shunda2, LU Zhengyan1, LONG Shengqing1
1. Guizhou Academy of Geological Survey, Guiyang 550005, China;
2. Southwest Energy and Mineral Resources Corporation Co, LTD, Guiyang 550004, China
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摘要 为了对贵州省矿产资源潜力进行评价,以ETM+为数据源,采用“去干扰异常主分量门限化技术(deinterfered anomalous principal component thresholding technique,DAPCTT)”提取了贵州省弱矿化蚀变遥感信息(即羟基遥感异常和铁染遥感异常信息)。这些信息是大量的离散数据,并以栅格文件形式表现,故采用密度加权法对离散异常点进行了表面内插处理,并绘制成等值线图。从这些图可以看出,遥感异常的分布具有一定的规律性,与地层、构造和矿产资源分布均有较好的吻合度。结合部分元素的地球化学异常分布图、高分辨率遥感图像和野外实测蚀变带等地学资料对遥感异常进行比对和验证的结果表明,用上述方法提取的弱矿化蚀变遥感信息可靠,基本反映了它们与地质构造、岩石及采矿场的依存关系,为贵州省矿产资源潜力评价提供了新的依据。
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关键词 多聚焦图像小波变换区域梯度    
Abstract:Taking Landsat7 ETM+ as the data source and using "de-interfered anomalous principal component thresholding technique,i.e., DAPCTT",the authors extracted weak mineralization and alteration remote sensing information (i.e. hydroxyl and iron-stain remote sensing anomaly information) in Guizhou Province. As this kind of information contains large quantities of discrete data and uses the grid file form,the authors used the density weighted method to process the surface interpolation of the discrete outliers and drew the contour maps. The contour maps show that the remote sensing anomaly distribution has certain regularity and is in good agreement with the formation, structure and distribution of mineral resources. In combination with geochemical element anomaly distribution map,high resolution remote sensing images and field measured alteration zone data,the comparison and verification were made for the remote sensing anomalies, and the results show that the weak mineralization and alteration remote sensing information extracted by these methods is reliable and can reflect the basic relationships between geological structures,rocks and mining fields. In addition, it can supply new clues to the evaluation of mineral resources potential in Guizhou Province.
Key wordsmultifocus images    wavelet transform    regional grads
收稿日期: 2013-04-23      出版日期: 2014-03-28
:  TP753  
基金资助:中国地质调查局全国矿产资源潜力评价之“贵州省矿产资源潜力评价”项目(编号:1212010881628)资助。
作者简介: 况忠(1975- ),男,工程师,长期从事区域地质、矿产地质及遥感地质应用研究工作。Email:gzsygxh@163.com。
引用本文:   
况忠, 黄欣欣, 况顺达, 芦正艳, 龙胜清. 贵州弱矿化蚀变遥感信息的分布特征[J]. 国土资源遥感, 2014, 26(2): 140-147.
KUANG Zhong, HUANG Xinxin, KUANG Shunda, LU Zhengyan, LONG Shengqing. Distribution characteristics of remote sensing information on weak mineralization and alteration in Guizhou. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 140-147.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.02.23      或      https://www.gtzyyg.com/CN/Y2014/V26/I2/140
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