Method for constructing a network of urban roads using satellite images

Abstract

An automatic method for recognizing the urban network of highways on high-resolution satellite images has been developed and implemented, based on the use of the Mask-RCNN convolutional neural network. The results of the neural network operation are post-processed by the Hough transformation and algorithms of mathematical morphology. The proposed method has acceptable accuracy and high speed of detection of asphalt urban roads.