2014
DOI: 10.1109/jstars.2014.2344756
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Simulated Annealing for Sequential Pattern Detection and Seismic Applications

Abstract: 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 capabilit… Show more

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Cited by 8 publications
(2 citation statements)
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References 19 publications
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“…The combined HMM-SVM method retains all of the correct classifications by the SVM, reduces the false positive rate, and also reduces the computational burden in classifying GPR traces. In [25], a sequential detection algorithm using simulated annealing (SA) to detect patterns in seismic data is proposed, and the proposed sequential detection is better than that of synchronous detection in detecting a large number of patterns. In [26], GPR is used for quality assessment of bridge decks due to its high speed and fine resolution.…”
Section: E Natural and Manmade Disaster Related Applicationsmentioning
confidence: 99%
“…The combined HMM-SVM method retains all of the correct classifications by the SVM, reduces the false positive rate, and also reduces the computational burden in classifying GPR traces. In [25], a sequential detection algorithm using simulated annealing (SA) to detect patterns in seismic data is proposed, and the proposed sequential detection is better than that of synchronous detection in detecting a large number of patterns. In [26], GPR is used for quality assessment of bridge decks due to its high speed and fine resolution.…”
Section: E Natural and Manmade Disaster Related Applicationsmentioning
confidence: 99%
“…By using Metropolis criterion [3], the higher energy state could be accepted with certain condition. In 2006 and 2009, Huang et al had adopted SA algorithm on seismic pattern detection [4]- [5].…”
Section: Introductionmentioning
confidence: 99%