Border areas are considered as one of the most important security bottlenecks of any country. Continuous surveillance and monitoring of these areas is one of the main priorities of the border guard forces and one of the main components of ensuring the security of these areas. With the advancements in space and aerial imaging technologies, border monitoring operations have been done more quickly and accurately. Iran is known as one of the risky border countries due to the extent of border lines and the presence of numerous terrorist groups around its borders that identifying and eliminating these potential and actual risks requires intelligence elites regarding threatening events in these areas. Based on the needs of the border guards in order to identify the passage routes of criminals and terrorist groups, in this research, a method to detect and identify the tracks of vehicles using multi-time SAR images has been presented. First, the used images were modified in terms of the required pre-processing and the errors of SAR images, and in the next step, using phase information and the Coherence Change Detection (CCD) algorithm, the track of the vehicle was identified in the images. In order to evaluate the capability of the proposed method, the usual methods of detecting changes were also applied to the images. The results of the research show the high capability of the proposed method in identifying unauthorized border crossing corridors. The results of this research can be used as one of the components of security at the borders of the country.
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