Jeofizik model ve haritaların görüntü işleme yöntemleri ile iyileştirilmesi
Özet
In geophysics, field measurements sensitive to a certain physical principle are carried out. The measured data are processed, then physical parameter distribution in subsurface is tried to be predicted. Geophysical inversion is run by updating the initial model parameters until observed and calculated data fits in a predetermined tolerance. Distribution of calculated parameters are presented as sections, maps or three-dimensional models, aiming to reconstruct the possible clearest image of the subsurface. However, it is possible to have some undesired side affects, which can occur during the data process and visualization steps. Selection of color spectrum, color scale limits and several user selective parameters can cause some information to be invisible although they exist in the numerical version of the sections or models. Image processing is a field that its application areas are constantly expanding while its present applications thrieving and become more applicable. In the cases with the availability of good quality data, image processing tools can be used for extracting all information in the sections and models. Therefore, interpretation and decision stages become more easier. In this study, the image processing tools has been used in two different ways for enhancing the geophysical maps and models. First, the processed geophysical models and maps were handled as images and tried to be enhanced with different image processing tools. Second, different image processing filters were used as smoothing functional in the inversion of direct current resistivity data. In addition, inversion process was restricted with the results of ground penetrating radar surveys with the help of structural similarity concept. Example applications were done with direct current resistivity and ground penetrating radar field data sets and numerous examples are presented with interpretations.