Using nonlinear image processing techniques for risk analysis of Anatolian earthquakes in NW of Iran.

Structural patterns processed from the remotely sensed data may contain a large amount of information critical for seismic hazard assessments. Unique structural photomap is however not a type of “ready-to-use“data to determination of lineaments or structural trends only if the different components of the digital numbers (DN) have been clearly divided. In this paper, the fractal filtering techniques, as nonlinear process for decomposing structural signatures, have been employed to separate the anomalous values from backgrounds. As a rule, seismic resources show oriented features associate with strain halos could be assessment and retrofitted along fault systems may have enough potential for seismic events. In other word, recent Anatolian activities (quaternary) have been suspected to main structures demolished important vehicles (transportations) constructed around Mianeh region by using fractal model of DN values in time and frequential domains.

Keywords:

Fractals , Faults. Image processing , Seismic events