青海沱沱河地区遥感蚀变信息提取

陈建平; 王倩; 董庆吉; 丛源

青海沱沱河地区遥感蚀变信息提取

陈建平^{1, 2,},
王倩^{1, 2},
董庆吉^{1, 2},
丛源^{1, 2}

1.
中国地质大学国土资源与高新技术研究中心, 北京 100083
2.
北京市国土资源信息开发研究重点实验室, 北京 100083

基金项目:

“十一五”国家科技支撑计划项目子课题 2006BAB01A08

详细信息

作者简介:
陈建平(1959-), 男, 博士, 教授, 博士生导师, 主要从事矿产资源预测与评价研究.E-mail: 3s@cugb.edu.cn

中图分类号: P627
计量
- 文章访问数: 3606
- HTML全文浏览量: 447
- PDF下载量: 49
- 被引次数: 0
出版历程
- 收稿日期: 2008-12-22
- 刊出日期: 2009-03-25

Extraction of Remote Sensing Alteration Information in Tuotuohe, Qinghai Province

CHEN Jian-ping^{1, 2
,},
WANG Qian^{1, 2},
DONG Qing-ji^{1, 2},
CONG Yuan^{1, 2}

1.
Institute of Land Resources and High Techniques, China University of Geosciences, Beijing 100083, China
2.
Beijing Key Laboratory of Research and E xploration Information of Land Resources, China University of Geosciences, Beijing 100083, China

摘要

摘要:
青海沱沱河位于西南“三江”成矿带的西北端, 具有优越的成矿地质背景和巨大成矿潜力, 已发现一批大中型以上规模的铅、锌、银、铜找矿靶区.沱沱河地区属于高寒区, 野外地质工作难于开展, 因此在该地区开展遥感找矿的研究是一种经济、便捷、有效的勘查手段.在ENVI软件的支持下, 根据与蚀变矿物组合相关的波谱特征, 利用掩膜+主成分分析+色度调整(MPH) 的方法从TM多光谱影像中提取与金属矿化有关的铁染与羟基蚀变遥感信息异常, 并结合地质资料, 区划成矿远景区和圈定找矿靶区, 取得了很好的应用效果.
- MPH /
- 主成分分析 /
- 铁染蚀变 /
- 羟基蚀变 /
- 沱沱河
Abstract:
Tuotuohe is located at the north-west section of "Sanjiang" metallogenic belt, Qinghai Province.This area boasts favorable mineralization background and great ore mineral potential.Prospecting targets for large-and/or middle-sized lead, zinc, sliver, and copper deposits have been delineated.Tuotuohe area belongs to cold grassy highland where some of the traditional geological field survey and mapping are difficult to conduct.Remote sensing technology is expected to provide low cost and efficient means to facilitate mineral exploration.Based on the spectrum information of mineral associations involved in mineralization-associated alteration zones and with the support of ENVI software, the authors used an integrated masking-principal component analysis-histogram classification (MPH) method to process the TM multi-spectral image to extract patterns related to iron stained alteration and hydroxyl alteration of mineralization form.Geological data are integrated with the results of remote sensing image processing to divide prospective districts and delineate prospecting targets.
- MPH /
- main component analysis /
- iron stained alteration /
- hydroxyl alteration /
- Tuotuohe

HTML全文

图 1 沱沱河地区遥感影像地质图

Fig. 1. Geological map of remote sensing image in Tuotuohe area

下载: 全尺寸图片幻灯片

图 2 沱沱河地区铁染蚀变异常分布

Fig. 2. Distribution of iron stained alteration anomaly in Tuotuohe area

下载: 全尺寸图片幻灯片

图 3 沱沱河地区羟基蚀变异常分布

Fig. 3. Distribution of hydroxyl alteration anomaly in Tuotuohe area

下载: 全尺寸图片幻灯片

参考文献(35)

Abrams, M. J., Ashley, R. P., Brown, L. C., et al., 1977. Mapping of hydrothermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46 to 2.36μm. Geology, (5): 713-718. https://pubs.geoscienceworld.org/gsa/geology/article-abstract/5/12/713/195297/Mapping-of-hydrothermal-alteration-in-the-Cuprite
Cheng, Q. M., 1997. Fractal/multifractal modeling and spatial analysis. In: Pawlowsky-Glahn, V., ed., Keynote Lecture in Proceedings of the International Mathematical Geology Association Conference, Barcelona, Spain, 22-27, 57-72.
Cheng, Q. M., 1999. Multifractality and spatial statistics. Computers & Geosciences, 25(9): 949-961. doi: 10.1016/S0098-3004(99)00060-6
Cheng, Q. M., Jing, L. H., Panahi, A., 2006. Principal component analysis with optimum order sample correlation coefficient for image enhancement. International Journal of Remote Sensing, 27(15-16): 3387-3401. doi: 10.1080/01431160600606882
Crosta, A., Moore, J. M., 1989. Enhancement of Landsat thematic mapper imagery for residual soil mapping in SW Minais Gerais State, Brazil: A prospecting case history in Greenstone belt terrain. In: Proceedings of the 7th ERIM Thematic Conference. Remote Sensing for Exploration Geology, 1173-1187.
Crowley, J. K., Hubbard, B. E., Mars, J. C., et al., 2003. Hydrothermal alteration on the cascade stratovolcanoes: A remote sensing survey. Geological Society of America Abstracts with Programs, 35(6): 552.
He, G. J., Hu, D. Y., Chen, Z. J., et al., 1995. Extracting gold mineralized information directly from TM image. Remote Sensing Technology and Application, 10(3): 51-54(in Chinese with English abstract).
Hunt, G. R., Salisbury, J. W., Lenhoff, C. J., 1971. Visible and near-infrared spectra of minerals and rocks: Ⅲ, oxides and hydroxides. Modern Geology, 2(3): 195-205. https://www.semanticscholar.org/paper/Visible-and-near-infrared-spectra-of-minerals-and-Hunt-Salisbury/dcdde7d39320ea0c9d87a954f405388818c3b763
Institute of Information of the Former Department of Geology, ed., 1980. Remote sensing special-Mineral and rock' s visible & mid-infrared spectra and their application. Geological Publishing House, Beijing(in Chinese).
Jing, F., Chen, J. P., 2005. The review of the alteration information extraction with remote sensing. Remote Sensing In formation, (2): 62-65, 57(in Chinese with English abstract).
Liu, C., Wang, D. L., Li, X. M., 2003. Extracting clay alteration information of medium vegetation covered areas based on linear model of spectral mixture analysis. Remote Sensing Technology and Application, 18(2): 95-98(in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-YGJS200302008.htm
Liu, Q. S., Yan, S. X., Ma, C. F., et al., 1999. Remote sensing extraction of piedmont potassic alteration zone in Hadamengou gold deposit district, Inner Mongolia Autonomous region. Remote Sensing Technology and Application, 14(3): 7-11(in Chinese with English abstract).
Liu, S. H., Ma, J. W., Lin, Q, Z., 2000. Depicting the hydrothermal alterations of high mountains in multi-spectral data via Gram-Schmidt projection method. Geology and Prospecting, 36(5): 62-65(in Chinese with English abstract).
Loughlin, W. P., 1991. Principal component analysis for alteration mapping. Photogrammetric Engineering and Remote Sensing, (57): 1163-1169.
Ma, J. W., 1997. Methodology study of quickly identifying mineral bearing alterations from TM data. Journal of Remote Sensing, 1(3): 208-213(in Chinese with English abstract).
Pan, T., Luo, C. R., Yi, Y. C., et al., 2006. The prospecting potential and metallogenic rules of metallic ore resources in Qinghai Province. Geological Publishing House, Beijing, 35-37(in Chinese).
Rowan, L. C., Goetz, A. F. H., Ashley, R. P., 1977. Discrimination of hydrothermally altered and unaltered rocks in visible and near infrared multispectral images. Geophysics, 42(3): 522-535. doi: 10.1190/1.1440723
Rutz-Armenta, J. R., Prol-Ledesma, R. M., 1998. Techniques for enhancing the spectral response of hydrothermal alteration minerals in thematic mapper images of Central Mexico. International Journal of Remote Sensing, 19 (10): 1981-2000. doi: 10.1080/014311698215108
Song, M. H., Pan, J., Xing, L. X., 2006. The remote-sensing study of metallogenic prognosis in the Qimantage region, eastern Kunlun. Journal of Jilin University (Earth Science Edition), 36(Suppl. ): 210-213(in Chinese with English abstract).
Tangestani, M. H., Moore, F., 2001. Comparison of three principal component analysis techniques to porphyry copper alteration mapping: A case study, Meiduk area, Kerman, Iran. Canadian Journal of Remote Sensing, 27 (2): 176-182. doi: 10.1080/07038992.2001.10854931
Yi, P. Q., Wang, Y. K., Gu, Y., 2007. Preliminary research on metallogenic rules of polymetallic in Tuotuohe region, Qinghai Province. Qinghai Guotu Jinglüe, (1): 35 -38(in Chinese with English abstract).
Zhang, Y. F., Wu, J. S., 1999. Extraction of mineralization and alteration information from remote sensing images. Geological Exploration for Non-Ferrous Metals, 8(6): 604-606(in Chinese with English abstract).
Zhao, Y. H., Zhang, F. X., Chen, N. F., 1991. The application of principal component integration of band ratios to extracting hydrothermal alteration information. Remote Sensing for Land & Resources, (3): 12-17(in Chinese with English abstract). https://oversea.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD1991&filename=GTYG199103002
地质部情报研究所, 1980. 遥感专辑—矿物岩石可见光-中红外光谱及其应用. 北京: 地质出版社.
何国金, 胡德永, 陈志军, 等, 1995. 从TM图像中直接提取金矿化信息. 遥感技术与应用, 10(3): 51-54. https://www.cnki.com.cn/Article/CJFDTOTAL-YGJS503.007.htm
荆凤, 陈建平, 2005. 矿化蚀变信息的遥感提取方法综述. 遥感信息, (2): 62-65, 57. doi: 10.3969/j.issn.1000-3177.2005.02.016
刘成, 王丹丽, 李笑梅, 2003. 用混合像元线性模型提取中等植被覆盖区的粘土蚀变信息. 遥感技术与应用, 18(2): 95-98. doi: 10.3969/j.issn.1004-0323.2003.02.008
刘庆生, 燕守勋, 马超飞, 等, 1999. 内蒙哈达门沟金矿区山前钾化带遥感信息提取. 遥感技术与应用, 14(3): 7-11. doi: 10.3969/j.issn.1004-0323.1999.03.002
刘素红, 马建文, 蔺启忠, 2000. 通过Gram-Schmidt投影方法在高山区提取TM数据中含矿蚀变带信息. 地质与勘探, 36(5): 62-65. doi: 10.3969/j.issn.0495-5331.2000.05.017
马建文, 1997. 利用TM数据快速提取含矿蚀变带方法研究. 遥感学报, 1(3): 208-213. https://www.cnki.com.cn/Article/CJFDTOTAL-YGXB199703007.htm
潘彤, 罗才让, 伊有昌, 等, 2006. 青海省金属矿产成矿规律及成矿预测. 北京: 地质出版社, 35-37.
宋明辉, 潘军, 邢立新, 2006. 东昆仑祁漫塔格地区找矿预测遥感研究. 吉林大学学报(地球科学版), 36(增刊): 210-213. https://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ2006S1047.htm
易平乾, 汪元奎, 顾瑛, 2007. 沱沱河地区多金属成矿规律初步探讨. 青海国土经略, (1): 35-38. doi: 10.3969/j.issn.1671-8704.2007.01.011
张远飞, 吴健生, 1999. 基于遥感图像提取矿化蚀变信息. 有色金属矿产与勘查, 8(6): 604-606. https://www.cnki.com.cn/Article/CJFDTOTAL-YSJS199906063.htm
赵元洪, 张福祥, 陈南峰, 1991. 波段比值的主成分复合在热液蚀变信息提取中的应用. 国土资源遥感, (3): 12-17. https://www.cnki.com.cn/Article/CJFDTOTAL-GTYG199103002.htm