Very fast simulated annealing for pattern detection and seismic applications

Kou-Yuan Huang*, Yueh Hsun Hsieh

*此作品的通信作者

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
頁面499-502
頁數4
DOIs
出版狀態Published - 16 十一月 2011
事件2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
持續時間: 24 七月 201129 七月 2011

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
國家/地區Canada
城市Vancouver, BC
期間24/07/1129/07/11

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