Evaluation of buried faults in Konya region using steerable filters

Bu makalede, yönlendirmeli filtreler jeofizik verilerin değerlendirilmesinde kullanılmışlardır. Yönlendirmeli filtreler belirli bir doğrultuda band geçiren filtrelerdir. Yönlendirmeli filtreler de, giriş görüntüsündeki farklı yönlerdeki kenarların elde edilmesi için, görüntü ilk önce farklı yönlere sahip temel filtrelerden geçirilir ve daha sonra yönelim alt-bandlarına ayrılır. Bu çalışmada, yönlendirmeli filtrelerin başarımını görebilmek için, çeşitli açılara sahip sentetik datalar ele alınmış ve kenar belirlemesi yapılmıştır. Arazi çalışması olarak, Konya bölgesinin gravite anomali haritasını kullandık. Gömülü durumda bulunan fayların oluşturduğu anomaliler farklı yönler için incelenmiş ve bölgenin oluşturulan fay haritası jeolojik bilgilerle karşılaştırılmıştır.In this paper, steerable filters are used in the evaluation of geophysical data. Steerable filters are band-pass filters having direction property. In extraction of directional properties, input data is passed through various directed band pass filters and then grouped into sub-bands. Here, to present the performance of steerable filters, we have chosen synthetic examples having various direction properties and tried to find out the borders of these samples. As a field study, we have used gravity anomaly map of Konya region. The anomalies caused by buried faults are evaluated for different angles and obtained fault map of the region is compared to previous geological results

Potential anomaly separation and archeological site localization using genetically trained multi-level cellular neural networks

In this paper, a supervised algorithm for the evaluation of geophysical sites using a multi-level cellular neural network (ML-CNN) is introduced, developed, and applied to real data. ML-CNN is a stochastic image processing technique based on template optimization using neighborhood relationships of the pixels. The separation/enhancement and border detection performance of the proposed method is evaluated by various interesting real applications. A genetic algorithm is used in the optimization of CNN templates. The first application is concerned with the separation of potential field data of the Dumluca chromite region, which is one of the rich reserves of Turkey; in this context, the classical approach to the gravity anomaly separation method is one of the main problems in geophysics. The other application is the border detection of archeological ruins of the Hittite Empire in Turkey. The Hittite civilization sites located at the Sivas-Altinyayla region of Turkey are among the most important archeological sites in history, one reason among others being that written documentation was first produced by this civilization

Gravity Modelling of Siirt Kentalan Region by Using Nomogram Method

In this study, we have used a practical method to obtain the possible depth of a structure from gravity field anomalies of 2-D and 3-D bodies. The given geometrical model gravity anomalies have been calculated for several depths and structure sizes. Gravity anomalies of the rectangular prism for 2-D structures and the vertical cylinder for 3-D structures have been calculated for different structure sizes. The parameters which will be used in nomogram evaluation have been obtained by examining the depths and sizes of model structures with the assistance of critical point values obtained from these anomalies (gmax, X1/2, X3/4). The given nomograms could be easily used for the calculation of the possible structure depth and sizes for the acquired field gravity anomaly. In this study we have applied the method to the gravity anomaly map of Kentalan-Reşan region in Siirt, and the study results is in a good harmony with the previous studies

WAVELET METHOD APPROACH OF ARCHAEOGEOPHYSICS STUDIES

In recent years, geophysical approaches are being commonly used in modeling and pre-processing of excavation of buried archeological structures. The methods to be applied for the archeological structures are decided due to the comments of the archeologists. Thus more information about the place and the type of the structure of the archaeological ruins can be obtained Thus only the area that archaeological structures with the estimated depth and borders are excavated without distorting original historical ruin. In this study, first the wavelet method has been tested with synthetic data Then wavelet approach is applied to the total magnetic anomaly map of the Hittite Empire, established in Sivas-Altinyayla, Turkey and residual anomalies are found The walls of the historical city and the borders and the characteristics of these walls are well evaluated by these residual anomaly outputs