標題: Simulated Annealing for Sequential Pattern Detection and Seismic Applications
作者: Huang, Kou-Jen
Huang, Kou-Yuan
Chen, I-Chieh
Wang, Luke K.
資訊工程學系
Department of Computer Science
關鍵字: Ellipse;hyperbola;line;parametric pattern detection;seismic patterns;sequential detection;simulated annealing (SA)
公開日期: 1-十二月-2014
摘要: Sequential pattern detection with simulated annealing (SA) is adopted to estimate parameters and detect lines, ellipses, hyperbolas type by type, and patterns by patterns in each type. The motivation of the sequential detection method is to deal with multiple patterns. The parameters of a pattern are formed as a vector and used as a state, and adjusted in SA. A sequential detection algorithm using SA to detect patterns is proposed. It detects one or a small number of patterns at each step. SA has the capability of the global minimization. The six parameters of patterns are adjusted sequentially step by step. The computation can converge efficiently. In the experiment, the result of sequential detection is better than that of synchronous detection in detecting a large number of patterns. In sequential detection, detection of one pattern at each step can have less computation time and good convergence in total detection than using two or more pattern detections. In simulated seismic data, SA is applied to detect the hyperbolas in the common depth point (CDP) gather. In real one-shot seismogram, SA is applied to detect lines of direct wave and hyperbolas of reflection wave. The results can show that the proposed method is feasible.
URI: http://dx.doi.org/10.1109/JSTARS.2014.2344756
http://hdl.handle.net/11536/124261
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2014.2344756
期刊: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Issue: 12
起始頁: 4849
結束頁: 4859
顯示於類別:期刊論文


文件中的檔案:

  1. 000348372000021.pdf