DocumentCode :
2188201
Title :
Study on igneous rocks identification using full gradient of potential field based on discrete cosine transform
Author :
Hu Weijian ; Hao Tianyao ; Jiang WeiWei ; Xu Ya ; Huang Song
Author_Institution :
Key Lab. of Pet. Resources Res., Inst. of Geol. & Geophys., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2707
Lastpage :
2710
Abstract :
Edge detection and enhancement techniques are usually used in identifying the boundary of geologic bodies using potential field data. In this paper, we present an igneous rocks identification method using full gradient of potential field based on discrete cosine transform. Rocks physical properties for igneous rocks usually have high-density and high magnetic susceptibility, with strong gravity or magnetic anomaly. So it´s available to identify the boundaries and distribution of igneous rocks using full gradient of gravity and magnetic anomalies method. Discrete cosine transform was used in computing full gradient of potential field to improve the computational speed and accuracy. The modeling test proves good results based on the method we have discussed. Using this method, we identified igneous rocks distribution of northwestern South China Sea and its adjacent regions.
Keywords :
discrete cosine transforms; edge detection; geophysical techniques; gravity; magnetic susceptibility; oceanographic regions; rocks; South China Sea; discrete cosine transform; edge detection; edge enhancement; gravity anomaly; igneous rocks identification; magnetic anomaly; magnetic susceptibility; potential field data; Discrete cosine transforms; Gravity; Magnetic resonance imaging; Magnetic separation; Magnetic susceptibility; Rocks; Discrete cosine transform; Igneous rocks; Potential field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350369
Filename :
6350369
Link To Document :
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