Abstract—In this paper, we propose a road detection model approach based on neural networks from satellite images. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. According the neural network, the RGB values are used for deciding the pixel belongs to road or not. The found road pixels are marked in the output image.
Index Terms—Road detection, road extraction, neural networks.
Idris Kahraman is with the Karabuk University, Turkey (e-mail: idriskahraman@karabuk.edu.tr).
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Cite: Idris Kahraman, Muhammed Kamil Turan, and Ismail Rakip Karas, "Road Detection from High Satellite Images Using Neural Networks," International Journal of Modeling and Optimization vol. 5, no. 4, pp. 304-307, 2015.
