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. © 2010 Springer-Verlag Berlin Heidelberg.
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Eslami, M., & Faez, K. (2010). Automatic traffic monitoring from satellite images using artificial immune system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6218 LNCS, pp. 170–179). https://doi.org/10.1007/978-3-642-14980-1_16
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