期刊文献+

TM图像叠加褶皱信息提取——基于小波变换的纹理分析 被引量:1

Extraction of information of superposed folds from TM images:Lamination analysis based on wavelet trans from
下载PDF
导出
摘要 多期构造叠加使变质岩区的结构构造面貌变得十分复杂,难以研究。因此,正确地识别叠加褶皱,就成为查明变质岩区构造及变形历史的关键之一,也是建立变质岩层层序最需重视的问题。本文提出了一种基于小波变换的纹理分析,从TM图像上提取叠加褶皱信息的图像处理方法,通过对南天山东段铜花山—硫磺山地区的多次反复实践和验证,取得了野外难以获取的良好效果。 Structures in metamorphic terrains are very complex and very diff icult to study because of polyphase superimposition.So to recognize superposed folds correctly is one of the keys to identify the structures and deformation history in metamorphic terrains.This paper proposes a method of processing ima ges by extracting the practice and checks of this method in the Tonghuashan-Li uhuangshan area in the eastern segment of the South Tianshan Mountains ,good results have been achieved.
机构地区 西北大学地质系
出处 《中国地质》 CAS CSCD 2002年第4期435-435,共1页 Geology in China
基金 国家自然科学基金项目(49972075) 西北大学校内基金(00NW32)
关键词 叠加褶皱 信息提取 小波变换 遥感图像 变质岩 变形机制 superposed fold extraction of infrmati on,wavelet conversion
  • 相关文献

参考文献4

  • 1澳B.E.霍布斯,美W.D.明斯,荷P.F.威廉斯.构造地质学纲要[M].北京:石油工业出版社,1980.
  • 2锦泰著,程正兴译.小波分析导论[M].西安:西安交通大学出版社,1994
  • 3陈建国,夏庆霖.利用小波分析提取深层次物化探异常信息[J].地球科学(中国地质大学学报),1999,24(5):509-512. 被引量:32
  • 4Schumaker L L,Webb G, Recent advance in wavelet analysis[M]. Boston:Academic Press,1994,1~92.

二级参考文献2

共引文献31

同被引文献39

  • 1王东峰,邹谋炎.傅氏变换的自配准性质及其在纹理识别和图象分割中的应用[J].中国图象图形学报(A辑),2003,8(2):140-146. 被引量:20
  • 2郑肇葆,周月琴.马尔柯夫随机场的参数估计与影像纹理分类[J].测绘学报,1995,24(1):45-51. 被引量:8
  • 3朱长青,杨启和,朱文忠.基于小波变换特征的遥感地貌影像纹理分析和分类[J].测绘学报,1996,25(4):252-256. 被引量:26
  • 4WLODZIMIEZ GREBLICKI. Continuous -time Hammerstein System Identification [ J ]. IEEE Trans on Automatic Control, 2000, 45 (6): 1232-1236.
  • 5LEE J, PHILPOT W. Spectral Textures Pattern Matching: A Classifier for Digital Imagery [J]. IEEE Transact - ions on Geo - sciences and Remote Sensing, 1991, 29:545 -548.
  • 6S. J R. Spectral and Texture Classification of Single and Multiple and Digital images [ J]. Computers & Geosciences, 1980, 228: 849 - 865.
  • 7HARALICK R M, SHANMUGAMK, DINSTEIN I. Texture Feature for Image Classification [ J]. IEEE Transactions on Systems, Man, and Cybermetics, 1973, (3): 610-621.
  • 8FABIO DELL ACQUA. PAOLO GAMBA. Texture Based Characterization of Urban Environments on Satellite SAR Images [ J ]. IEEE Transactions on Geoseience and Remote Sensing, 2003, 41 ( 1 ) : 153 - 159.
  • 9CHAUDHURI B B. ARKAR N. Texture Segmentation Using Fractal Dimension [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1995, 17 ( 1 ) : 72 - 77.
  • 10DAUBECHIESS NAGHDY. Orthogonal Bases of Compactly Supported Wavelets [ J]. Comm. Pure Appl Math, 1998, 41 : 909 - 996.

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部