Abstract. Automatic and intelligence Road traffic monitoring is a new research issue for high resolution satellite imagery application in transportation. One of the results of this research was to control the traffic jam in roads and to recognize the traffic density quickly and accurately. This article presents a new approach for recognizing the vehicle and the road in satellite high-resolution images in non-urban areas. For road recognition, they used feature extraction and image processing techniques like Hough transform, Gradient, and thresholding operation and they presented an artificial immune approach to extract vehicle targets from high resolution panchromatic satellite imagery. The average of results is about 94 percent and it shows that the used procedure has the suitable efficiency.

Vital problems in transportation and safety of transportation, especially in hi ways, are considered as very important nowad monitoring aims at acquisition and analysis such as presence and numbers of vehicles driver warning systems developed mainly for safety purposes. In the past some methods hav for road and vehicle recognition, which eithe the results was not acceptable, or tolera achieved only in specific conditions. This artic approach for recognizing the vehicle and the high-resolution images in non-urban areas. O of this research was to control the traffic jam recognize the traffic density quickly and recognition, they used feature extraction, ima machine learning like Hough transform, thresholding operation for road detectio extraction and SVM for Vehicles' detection results is about 85 percent and it show procedure has the suitable efficiency.

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