TY - GEN
T1 - Very fast simulated annealing for pattern detection and seismic applications
AU - Huang, Kou-Yuan
AU - Hsieh, Yueh Hsun
PY - 2011
Y1 - 2011
N2 - We use three global optimization methods in the pattern parameter detection system, including simulated annealing (SA), fast simulated annealing (FSA) and very fast simulated annealing (VFSA). The sequential pattern parameter detection system can detect three types of patterns that include the lines, hyperbolas and ellipses in image. We use steps in the parameter detection for reducing the computation and getting fast convergence. This system has the capability of searching pattern parameter vectors with global minimal distance between the patterns and the image data. After the system is successful in image pattern detection, we apply it to detect the parameters of the hyperbolic patterns on real one-shot seismogram and seismic common depth point (CDP) gather data. This procedure provides an automatic velocity analysis method and improves the seismic interpretation and further seismic data processing.
AB - We use three global optimization methods in the pattern parameter detection system, including simulated annealing (SA), fast simulated annealing (FSA) and very fast simulated annealing (VFSA). The sequential pattern parameter detection system can detect three types of patterns that include the lines, hyperbolas and ellipses in image. We use steps in the parameter detection for reducing the computation and getting fast convergence. This system has the capability of searching pattern parameter vectors with global minimal distance between the patterns and the image data. After the system is successful in image pattern detection, we apply it to detect the parameters of the hyperbolic patterns on real one-shot seismogram and seismic common depth point (CDP) gather data. This procedure provides an automatic velocity analysis method and improves the seismic interpretation and further seismic data processing.
KW - common depth point(CDP)
KW - fast simulated annealing
KW - simulated annealing
KW - velocity analysis
KW - very fast simulated annealing
UR - http://www.scopus.com/inward/record.url?scp=80955164612&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2011.6049174
DO - 10.1109/IGARSS.2011.6049174
M3 - Conference contribution
AN - SCOPUS:80955164612
SN - 9781457710056
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 499
EP - 502
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Y2 - 24 July 2011 through 29 July 2011
ER -