Extracting Traffic Data from Satellite Images

The extracted traffic information from satellite images is an important issue which is concentrated during the past two decades. The overall goal of this issue is to find the quantity of vehicles by separating the light and heavy vehicles in an aerial or satellite images. Due to the time consuming manual methods in this paper, the process is carried out by using image processing techniques. Extracting this information has many applications in different fields of science and practice of urban traffic management that became a direct need for the society. Therefore, access to the upgraded information and yet available to process will be so important. The presented method in this paper is, separating and counting vehicles using satellite images based on programming technique of GUI in the MATLAB software. The carried out separation is directly proportional with the image quality, thus, by having a high resolution image we can separate the light and heavy, two-or three-axis load vehicles or even all vehicles according to the Scheme Regulations. It seems that human accuracy should be use in extraction of traffic data as an effective factor. Also the cost and time issues as a serious impediment to access this information indicates more need to this software.