Road Extraction from Satellite Images has become a hot topic for research recently. It is mainly used in generating new road networks, traffic management and city planning. It is difficult to extract the road network precisely and automatically. Hence, we propose an approach in this paper which uses Convolution Neural Network for extracting road networks from satellite images. We have used Sentinel-2 dataset of Delhi NCR region and PSPNet architecture which consists of ResNet, Encoder-Decoder and Pyramid Pooling Module.
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