Simulated annealing for pattern detection and seismic application

Kai J. Chen, Kou-Yuan Huang*

*Corresponding author for this work

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

Simulated annealing algorithm is adopted to detect the parameters of lines, circles, ellipses, and hyperbolic patterns. We define the distance from a point to a pattern such that the detection becomes feasible, especially in hyperbola. The proposed simulated annealing parameter detection system has the capability to find a set of parameter vectors with global minimal error to the input data. Using average minimum distance, we propose a method to determine the number of patterns automatically. Experiments on the detection of lines, circles, ellipses, and hyperbolas in images are quite successful. The detection system is also applied to detect the line pattern of direct wave and the hyperbolic pattern of reflection wave in the simulated one-shot seismogram. The results are good and can improve seismic interpretations and further seismic data processing.

原文English
主出版物標題The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
頁面477-482
頁數6
DOIs
出版狀態Published - 1 十二月 2007
事件2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States
持續時間: 12 八月 200717 八月 2007

出版系列

名字IEEE International Conference on Neural Networks - Conference Proceedings
ISSN(列印)1098-7576

Conference

Conference2007 International Joint Conference on Neural Networks, IJCNN 2007
國家United States
城市Orlando, FL
期間12/08/0717/08/07

指紋 深入研究「Simulated annealing for pattern detection and seismic application」主題。共同形成了獨特的指紋。

引用此