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Content Provider | IEEE Xplore Digital Library |
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Author | Li Chen Qiming Qin Yanbing Bai Nan Wang Jun Wang Chao Chen |
Copyright Year | 2013 |
Description | Author affiliation: Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China (Li Chen; Qiming Qin; Yanbing Bai; Nan Wang; Jun Wang; Chao Chen) |
Abstract | The buried faults are widespread in the coal-bed, which result in great difficulties in the construction work. In this paper, an integrated method is used in coal-bed in order to detect and analyze the characteristics of buried faults. Firstly, the lineaments are interpreted by visual interpretation from the ETM+ image, and several lineaments enriched areas are picked up. Secondly Super-Low Frequency (SLF) electromagnetic detection is conducted in these areas. Finally, combined with the geology information, lineament distribution and the SLF data, the characteristics of the buried faults are delineated. The results show that the near EW trending normal faults exist widely in the study area by this method, and the depth of the buried faults are presumed in 450-600 m that are coherent with the available drilling data. |
Sponsorship | IEEE Geosci. Remote Sens. Soc. |
Starting Page | 811 |
Ending Page | 814 |
File Size | 927001 |
Page Count | 4 |
File Format | |
ISBN | 9781479911141 |
ISSN | 21536996 |
DOI | 10.1109/IGARSS.2013.6721282 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-21 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electromagnetics Remote sensing Geology Visualization Noise Wavelet transforms Buried faults Super-Low Frequency electromagnetic detection |
Content Type | Text |
Resource Type | Article |
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