DocumentCode
484121
Title
Synchronous and Hierarchical Seismic Pattern Detection Using Simulated Annealing
Author
Huang, Kou-Yuan ; Chou, Ying-Liang
Author_Institution
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
The synchronous system and the hierarchical system are proposed by using simulated annealing for the detection of lines and hyperbolas in a one-shot seismogram. The synchronous system can detect the patterns in one step. The hierarchical detection procedures are class by class, then pattern by pattern. The equation of hyperbola is defined under translation and rotation. The distance from all points to all patterns is defined as the error. The proposed simulated annealing parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, both of two systems can well detect line of direct wave and hyperbola of reflection wave in the simulated one-shot seismogram and the real seismic data, but the hierarchical system can converge faster. The results of seismic pattern detection can improve seismic interpretation and further seismic data processing.
Keywords
geophysical equipment; geophysics computing; seismic waves; seismology; seismometers; simulated annealing; global minimal error; hierarchical seismic pattern detection; hyperbola equation; reflection wave; seismic data processing; seismic experiments; seismic interpretation; simulated annealing; simulated one-shot seismogram; synchronous system; Computational modeling; Computer science; Computer simulation; Data preprocessing; Data processing; Equations; Hierarchical systems; Neural networks; Reflection; Simulated annealing; one-shot seismogram; seismic pattern; simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779140
Filename
4779140
Link To Document