14th International Symposium on Visual Computing
ICT lab researcher Pinjing Xu will be presenting our work “Delineation of Road Networks Using Deep Residual Neural Networks and Iterative Hough Transform”. The work is co-authored with Pinjing Xu and Charalambos Poullis.
In this paper we present a complete pipeline for extracting road network vector data from satellite RGB orthophotos of urban areas. Firstly, a network based on the SegNeXt architecture with a novel loss function is employed for the semantic segmentation of the roads. Results show that the proposed network produces on average better results than other state-of-the-art semantic segmentation techniques. Secondly, we propose a fast post-processing technique for vectorizing the rasterized segmentation result, removing erroneous lines, and refining the road network. The result is a set of vectors representing the road network. We have extensively tested the proposed pipeline and provide quantitative and qualitative comparisons with other state-of-the-art based on a number of known metrics.
The source code and supplemental material is publicly available at https://theictlab.org/lp/2019Re_X/