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dc.contributor.authorallMuhittin Albora, A.; Geophysical Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
dc.contributor.authorallNuri Uçan, O.; Electrical and Electronics Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
dc.contributor.authorallAydogan, D.; Geophysical Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
dc.description.abstractIn this paper, to separate regional-residual anomaly maps and to detect borders of buried geological bodies, we applied the Cellular Neural Network (CNN) approach to gravity and magnetic anomaly maps. CNN is a stochastic image processing technique, based optimization of templates, which imply relationships of neighborhood pixels in 2-Dimensional (2D) potential anomalies. Here, CNN performance in geophysics, tested by various synthetic examples and the results are compared to classical methods such as boundary analysis and second vertical derivatives. After we obtained satisfactory results in synthetic models, we applied CNN to Bouguer anomaly map of Konya-Beysehir Region, which has complex tectonic structure with various fault combinations. We evaluated CNN outputs and 2D/3D models, which are constructed using forward and inversion methods. Then we presented a new tectonic structure of Konya-Beysehir Region. We have denoted (F1, F2, …, F7) and (Konya1, Konya2) faults according to our evaluations of CNN outputs. Thus, we have concluded that CNN is a compromising stochastic image processing technique in geophysics.en
dc.relation.ispartofAnnals of Geophysicsen
dc.relation.ispartofseries5/50 (2007)en
dc.subjectCellular Neural Network (CNN)en
dc.subjectforward and inverse modelingen
dc.subjecttectonic modelingen
dc.subjectboundary analysisen
dc.subjectCentral Turkeyen
dc.titleTectonic modeling of Konya-Beysehir Region (Turkey) using cellular neural networksen
dc.subject.INGV04. Solid Earth::04.07. Tectonophysics::04.07.07. Tectonicsen
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dc.description.journalTypeJCR Journalen
dc.contributor.authorMuhittin Albora, A.en
dc.contributor.authorNuri Uçan, O.en
dc.contributor.authorAydogan, D.en
dc.contributor.departmentGeophysical Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
dc.contributor.departmentElectrical and Electronics Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
dc.contributor.departmentGeophysical Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkeyen
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item.grantfulltextopen- University, Engineering Faculty, Geophysical Department, Avcilar, Istanbul, Turkey- and Electronics Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkey- Department, Engineering Faculty, Istanbul University, Avcilar, Istanbul, Turkey-
crisitem.classification.parent04. Solid Earth-
Appears in Collections:Annals of Geophysics
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