Please wait a minute...
 
国土资源遥感  2014, Vol. 26 Issue (2): 162-169    DOI: 10.6046/gtzyyg.2014.02.26
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于断裂构造遥感影像特征对比分析的花山岩体与姑婆山岩体成因关联性探讨
郝敏1,2,3, 吴虹1,2,3, 贾志强1,2,3, 黄大宁4, 柳艳1,2,3, 关震1,2,3
1. 桂林理工大学广西矿冶与环境科学实验中心, 桂林 541004;
2. 广西隐伏金属矿产勘查重点实验室, 桂林 541004;
3. 桂林理工大学地球科学学院遥感应用研究所, 桂林 541004;
4. 福州大学福建省空间信息工程研究中心, 福州 350002
Discussion on genetic correlation between Huashan granite body and Guposhan granite body based on comparative analysis of fault structure features in remote sensing image
HAO Min1,2,3, WU Hong1,2,3, JIA Zhiqiang1,2,3, HUANG Daning4, LIU Yan1,2,3, GUAN Zhen1,2,3
1. Guangxi Scientific Experiment Center of Mining, Metallurgy and Environment, Guilin University of Technology, Guilin 541004, China;
2. Guangxi Key Laboratory of Hidden Metallic Ore Deposits Exploration, Guilin 541004, China;
3. Institute for Remote Sensing Application, College of Earth Science, Guilin University of Technology, Guilin 541004, China;
4. Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China
全文: PDF(7990 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 花山花岗岩体与姑婆山花岗岩体是广西桂东地区相邻的2个花岗岩体,与该地区多金属成矿的关系密切,探明它们的成因关系对扩大桂东地区有色金属矿产资源的找矿前景具有实际意义。由于花岗岩体断裂构造的形成与花岗岩体成岩地质作用关系密切,因而通过其空间分布特征来分析比较相邻岩体的断裂构造特征有助于对岩体成因关联性的探讨。以ETM+遥感图像为信息源,在对花山和姑婆山花岗岩体遥感图像开展了SN,EW,NE和NW这4个方向的线性构造信息提取基础上,对2个岩体的遥感线性构造进行了对比统计分析、对比玫瑰花图分析、对比等密度图分析以及对比趋势面模拟岩体断裂构造应力场分布分析,最后通过综合分析获得2岩体在成因上所具有的关联性及差异性。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
李云帆
龚威平
林俞先
汪波
关键词 LiDAR点云航空影像建筑物轮廓提取    
Abstract:Huashan granite body and Guposhan granite body are two neighboring granite bodies in Guidong area of Guangxi. They are closely related to the polymetallic mineralization of the area. The study of their formation is of practical significance for expanding prospecting for the non-ferrous metal mineral resources in Guidong area. As the fault structure was genetically closely related to the igneous geological action of the granite body,the authors investigated their spatial contact characteristics so as to help the discussion of the genetic correlation between the granite bodies. Using the ETM+ remote sensing image as the source of information and based on extracting the linear structure information in four directions,i.e., SN,EW,NE and NW, from the remote sensing images of Huashan and Guposhan granite bodies,the authors carried out the comparative statistical analysis,comparative rose diagram analysis and comparative equi-density map analysis as well as comparative structural stress field analysis of the fractures through trend surface simulation of the remote sensing linear structure in the two rock bodies. Finally,the genetic relevance and difference between the two rock bodies were detected through the comprehensive analysis.
Key wordsLiDAR    point clouds    airborne imageries    building boundary extraction
收稿日期: 2013-05-10      出版日期: 2014-03-28
:  TP753  
通讯作者: 吴虹(1947- ),男,硕士,教授,主要研究方向为资源遥感、环境遥感等。Email:wuhong@glite.edu.cn。
作者简介: 郝敏(1988- ),女,硕士研究生,主要研究方向为定量遥感。Email:328999430@qq.com。
引用本文:   
郝敏, 吴虹, 贾志强, 黄大宁, 柳艳, 关震. 基于断裂构造遥感影像特征对比分析的花山岩体与姑婆山岩体成因关联性探讨[J]. 国土资源遥感, 2014, 26(2): 162-169.
HAO Min, WU Hong, JIA Zhiqiang, HUANG Daning, LIU Yan, GUAN Zhen. Discussion on genetic correlation between Huashan granite body and Guposhan granite body based on comparative analysis of fault structure features in remote sensing image. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 162-169.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.02.26      或      https://www.gtzyyg.com/CN/Y2014/V26/I2/162
[1] 广东省地质局南岭区域地质测量普查大队.南岭侵入岩初步研究报告[R].北京:地质出版社,1959:1-230. Guangdong Provincial Bureau of Geology in Regional Geological Survey Team.A preliminary report on Nanling intrusive rocks[R].Beijing:Geological Publishing House,1959:1-230.
[2] 中国科学院地质研究所.富钟贺矿物志[M].北京:科学出版社,1965:1-114. Chinese Academy of Geological Sciences.Fuzhonghe Minerals[M].Beijing:Science Press,1965:1-114.
[3] 袁奎荣,何柏安,吴正扬.广西姑婆山里松花岗岩体的特征及其成因问题[C]//冶金部地质科研会议论文集:锡矿专辑,1966. Yuan K R,He P A,Wu Z Y.Characteristics and genesis of Lisong granite in Guposhan,Guangxi Province[C]//Ministry of Metallurgical Geological Research Conference Proceedings:Tin Ore Album,1966.
[4] 袁奎荣.隐伏花岗岩预测及深部找矿[M].北京:科学技术出版社,1990:92-112. Yuan K R.The prediction of hidden granites and the exploration of deep ore deposits and its prospect[M].Beijing:Science and Technology Publishing House,1990:92-112.
[5] 朱金初,李向东.广西花山花岗岩的岩石学和地球化学特征及成岩物质来源的探讨[J].岩石矿物学杂志,1988(1):30-40. Zhu J C,Li X D.Petrological-geochemical features and source materials of Huashan granites,Guangxi Autonomous Region[J].Acta Petrologica Et Mineralogic,1988(1):30-40.
[6] 顾晟彦,华仁民,戚华文.广西花山-姑婆山燕山期花岗岩的地球化学特征及成因研究[J].岩石矿物学杂志,2006,25(2):97-109. Gu S Y,Hua R M,Qi H W.Geochemistry and petrogenesis of the Yanshanian Huashan-Guposhan granites in Guangxi[J].Acta Petrologica and Mineralogica,2006,25(2):97-109.
[7] 邹仁辉,张小路,朱国器,等.广西花山-姑婆山花岗岩体的三维形态[J].桂林理工大学学报,2010,30(4):495-500. Zou R H,Zhang X L,Zhu G Q,et al.3D geometry of Huashan-Guposhan granite mass in Guangxi[J].Journal of Guilin University of Technology,2010,30(4):495-500.
[8] 黄晓娟,吴虹,周爱萍,等.基于遥感线性构造等密度图的姑婆山花岗岩体单元划分[J].桂林理工大学学报,2010,30(4):490-494. Huang X J,Wu H,Zhou A P,et al.Unit classification of Guposhan granite rock based on remote sensing lineament density image[J].Journal of Guilin University of Technology,2010,30(4):490-494.
[9] 朱亮璞.遥感地质学[M].北京:地质出版社,2001. Zhu L P,Remote sensing geology[M].Beijing:Geological Publishing House,2001.
[10] 池国祥.广西姑婆山复式岩基的多源特征及其大地构造形成机制[J].大地构造与成矿学,1989,13(1):69-79. Chi G X.Polysource features of Guposhan composite batholith with reference to their geotectonic mechanism[J].Geotectonica Et Metallogenia,1989,13(1):69-79.
[11] 冯佐海,梁金城,张桂林,等.论广西东部中生代花岗岩类岩石谱系单位——以姑婆山-花山花岗岩体为例[J].桂林工学院学报,2002,22(3):333-340. Feng Z H,Liang J C,Zhang G L,et al.On the lithodemic units of Mesozoic granitoid in east Guangxi:A case from Guposhan-Huashan granitic pluton[J].Journal of Guilin Institute of Technology,2002,22(3):333-340.
[12] 张永生.遥感图象信息系统[M].北京:科学出版社,2000. Zhang Y S.Remote sensing image information system[M].Beijing:Science Publishing House,2000.
[13] 楼性满,葛榜军.遥感找矿预测方法[M].北京:地质出版社,1994. Lou X M,Ge B J.Remote sensing prospecting prediction method[M].Beijing:Geological Publishing House,1994.
[14] 薛重生,王京名,刘敏,等.遥感图像构造线性体模式及结构分析[J].地质科技情报,1997,16(增刊):58-63. Xue Z S,Wang J M,Liu M,et al.Analysis of structural linement pattern and texture on remote sensing image[J].Geological Science and Technology Information,1997,16(s1):58-63.
[1] 李沛婷, 赵庆展, 田文忠, 马永建. 结合无人机载LiDAR点云法向量的K-means++聚类精简[J]. 国土资源遥感, 2020, 32(2): 103-110.
[2] 孟蕾, 林超. 机载LiDAR技术生成DEM的质量检查与解决方案探讨[J]. 国土资源遥感, 2020, 32(1): 7-12.
[3] 李冲, 李昊霖, 佘毅. 基于多源遥感数据的地理信息质量检测[J]. 国土资源遥感, 2019, 31(4): 258-263.
[4] 朱军桃, 王雷, 赵传, 郑旭东. 基于区域生长算法的复杂建筑物屋顶点云分割[J]. 国土资源遥感, 2019, 31(4): 20-25.
[5] 李莹, 于海洋, 王燕, 吴建鹏, 杨礼. 基于无人机重建点云与影像的城市植被分类[J]. 国土资源遥感, 2019, 31(1): 149-155.
[6] 闫利, 李瑶, 谢洪. 基于机载与车载LiDAR数据的LoD3城市建筑物模型自动重建[J]. 国土资源遥感, 2018, 30(4): 97-101.
[7] 易佳思, 胡翔云. 基于Grabcut融合多源数据提取不透水面[J]. 国土资源遥感, 2018, 30(3): 174-180.
[8] 何雪, 邹峥嵘, 张云生, 杜守基, 郑特. 面向对象的倾斜摄影测量点云分类方法[J]. 国土资源遥感, 2018, 30(2): 87-92.
[9] 李云帆, 谭德宝, 刘瑞, 邬建伟. 顾及建筑物屋顶结构的改进RANSAC点云分割算法[J]. 国土资源遥感, 2017, 29(4): 20-25.
[10] 于海洋, 罗玲, 马慧慧, 李辉. SRTM(1″)DEM在流域水文分析中的适用性研究[J]. 国土资源遥感, 2017, 29(2): 138-143.
[11] 李佳俊, 钟若飞. 轻小型机载LiDAR的航线设计[J]. 国土资源遥感, 2017, 29(2): 97-103.
[12] 王旭东, 段福洲, 屈新原, 李丹, 余攀锋. 面向对象和SVM结合的无人机数据建筑物提取[J]. 国土资源遥感, 2017, 29(1): 97-103.
[13] 王春林, 孙金彦, 周绍光, 钱海明, 黄祚继. 影像辅助下LiDAR数据建筑物轮廓信息提取[J]. 国土资源遥感, 2017, 29(1): 78-85.
[14] 査达剑, 李乐林, 江万寿, 韩用顺. LiDAR三维重建中基于CSG方法的扩展研究[J]. 国土资源遥感, 2016, 28(4): 35-42.
[15] 周行行, 邹峥嵘, 张云生, 郑特. 顾及几何及颜色信息的倾斜影像立面点云提取[J]. 国土资源遥感, 2016, 28(4): 43-48.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发